Artificial Intelligence in Contemporary Design Praxis

Brief II : A.I. and Design Methodology
Programming for Designers 2023/2024
IE Bachelor in Design
prof. Ruxandra iancu-Bratosin
ap. Chat-GPT et al
Artificial
Intelligence in
Contemporary
Design Praxis:
A Discursive
Examination
IE University / Madrid
october 2023

MJ /imagine:
design students happy that a.i. will take their jobs.
MJ /imagine:
design students devastated that a.i. will take their jobs.
Covers
MJ /imagine:
a university where a.i. is the only professor.

I have made two requests.
One to my students: to integrate
artificial intelligence into their design
methodologies however they see fit.
Another to an LLM: to help me
formulate the role of artificial
intelligence in the design world.
This publication is the result of those
requests put together.
- Ruxandra Iancu Bratosin,
professor of the
Programming for Designers course
IE Univerisity, Bachelor in Design
Artificial Intelligence in
Contemporary Design Praxis: A
Discursive Examination
Artificial Intelligence (AI) ‘s profound
metamorphosis within our global technosocietal
landscape mirrors historical
technological disruptions. Notably, the
19th century’s advent of photography
incited prognostications regarding
the obsolescence of painting—a
presumption later debunked. The 20th
century’s transition to automation
similarly invoked trepidations of
dwindling employment opportunities,
yet the market paradigm diverged,
reflecting employment augmentation.
Such historical parallels elucidate that
technological progression inevitably
engenders dialectical tensions between
apprehensions and potentialities.
Within the crucible of contemporary
creative industries, the incursion of AI
doesn’t merely manifest as utilitarian
concerns of occupational safeguarding. It
broaches profound epistemological and
ontological inquiries about the nature
of creativity, authenticity, intellectual
proprietorship, and the inherent
“human-ness” of artistic expression. For
instance, one group of students asked
if AI’s algorithmic prowess replicates
the esoteric spirit of underground
publications like Zines. Or, in modernday
matchmaking, does AI possess the
intricate nuance required to navigate
the labyrinthine corridors of digital
romance?
The nexus of AI and design compels
a reevaluation of foundational
assumptions. When one considers
the recreation of established business
entities—such as the student project
you can read about in the publication
regarding the emulation of a renowned
Spanish burger chain through AI’s
intricate algorithms—the boundaries
between originality and replication
blur, posing pivotal questions
regarding authenticity in design praxis.
Concurrently, one group of students
explores how the music industry’s
burgeoning reliance on AI, as seen in
platforms like Spotify, alters content
recommendation algorithms and
engenders the genesis of AI-rendered
musical entities. Such developments
inevitably challenge the sacrosanctity of
human artistry.
Furthermore, the transformative
capabilities of AI in reconceptualizing
branding strategies for entities, such
as a cocktail bar’s social media
persona, raise crucial inquiries: Is there
a discernible divergence in quality

etween human and machine-rendered
creativity when parameters remain
constant? The inherent malleability of
AI, which allows for the manipulation of
multimedia content, further accentuates
concerns about digital veracity,
complicating the distinction between
factual representation and artificially
constructed narratives.
This publication endeavors to critically
interrogate the multifaceted implications
of AI integration within the design
paradigm. Through a rigorous academic
lens, it elucidates the myriad trajectories
and methodological considerations
posited by our contributing scholars.
While the path forward may remain
nebulous, it is indisputable that AI’s role
in design heralds a nexus of unparalleled
challenges and opportunities, demanding
astute scholarly engagement.
Conclusion: The Symbiotic Nexus of AI
and Design Methodology
Artificial Intelligence (AI) stands at the
cusp of a transformative era in design
methodology, neither as a mere tool
nor an overarching solution, but as
a collaborative entity. The discourse
surrounding AI’s role in design oscillates
between exuberant optimism and wary
skepticism, yet an objective appraisal
reveals a more nuanced reality.
Central to understanding AI’s role is
recognizing that design, at its core,
is an intricate blend of problemsolving,
creativity, and human-centric
considerations. AI excels in data
analysis, pattern recognition, and
automating repetitive tasks. It can swiftly
process vast datasets, offer predictive
insights, and generate numerous design
iterations. This efficiency can free
designers from mundane aspects of their
workflow, allowing for a heightened
focus on conceptualization, contextual
understanding, and refined creativity.
Yet, the essence of design transcends
raw computational capability. It thrives
on empathy, cultural cognizance, and
the intangible ‘human touch’—areas
where AI remains limited in its current
form. While AI can suggest design
alterations based on data, it cannot yet
understand the subtle cultural nuances or
the profound emotional resonances that
human designers innately incorporate
into their work.
However, the convergence of AI and
design isn’t a zero-sum game. The
most promising design methodologies
of the future will likely emerge
from a symbiotic integration of AI’s
computational prowess and human
creativity. For instance, AI can assist
in real-time user behavior analysis in
areas like user experience (UX) design.
At the same time, human designers
interpret these insights within broader
socio-cultural frameworks to create more
intuitive and impactful user interfaces.
Moreover, with advancements in
generative design and AI-driven creative
tools, designers can explore many
design possibilities, refining their vision
based on AI suggestions while ensuring
the final output resonates with human
sensibilities. Such collaboration provides
design solutions that are both innovative
and deeply human-centric.
In conclusion, AI is not poised to replace
the designer but to augment the design
process. Its incorporation into design

methodology signifies not an eclipse of
human creativity but its amplification.
As designers and technologists continue
to collaborate, the boundaries of what’s
possible will expand, forging a future
where AI-enabled design methodologies
cater to evolving global challenges with
unprecedented efficacy and empathy.
Advancing the Design Frontier: The
Role of AI-centric Discourse in Shaping
Tomorrow’s Creations
The very ethos of design revolves around
evolution—of thought, method, and
execution. Within this dynamic realm,
the publication, an anthology of articles
dissecting the confluence of Artificial
Intelligence (AI) and design, emerges
as an avant-garde compass, guiding
the trajectory of future projects. This
collection doesn’t just annotate current
intersections but pioneers a dialogue
that has the potential to reshape the
paradigms of design.
Here’s how Chat-GPT suggests
this collection of articles can be
implemented to reshape the design
methodology:
Blueprint for Future Integration:
The meticulously curated articles map
the present landscape and serve as a
blueprint for integrating AI into design
processes. By documenting varied
methodologies, from leveraging AI in
creative branding to its role in digital
matchmaking, these articles provide
tangible pathways for professionals and
aspirants to explore AI-enabled design
avenues.
Bridging Theory and Practice:
The gap between theoretical exploration
and tangible implementation is often
vast. This anthology bridges this chasm.
With empirical accounts, real-world
project summaries, and critical analyses,
it offers both a conceptual framework
and pragmatic insights. This dual
approach ensures that readers not only
grasp the theoretical nuances but can
also envision concrete applications.
Fostering Innovation through Crosspollination:
The diversity of topics and
methodologies presented encourages
interdisciplinary thinking. A designer
working on, say, user experience (UX)
might find inspiration in an article
discussing AI’s role in music platforms.
This cross-pollination of ideas, where
insights from one domain fertilize
another, catalyzes groundbreaking
innovations.
Championing Ethical Considerations:
Ethical considerations are paramount
as we stand on the precipice of the AI
era. This collection doesn’t shy away
from discussing the challenges—
authenticity concerns or the implications
of AI-manipulated content. By raising
these issues, the publication equips
designers to approach AI with a balanced
perspective, fostering designs that are
not just innovative but also ethically
sound.
Inspiring the Next Generation:
As educators and mentors look to equip
the next generation with skills for the
future, this anthology serves as an
essential resource. It’s not just a guide to

‘how’ but a contemplative exploration
of ‘why.’ Such comprehensive discourse
can inspire students, giving them
direction and the impetus to push
boundaries.
Solidifying the Role of Human-Centric
Design:
Amidst the AI discourse, one
underlying theme of the collection is the
reaffirmation of the human element in
design. By juxtaposing AI’s capabilities
and limitations with human intuition and
creativity it underscores the irreplaceable
value of the human touch, ensuring that
design remains empathetic and usercentric
as we move forward.
In essence, this publication is more
than a compendium of articles; it’s a
beacon for the future of design. By
elucidating where AI fits within the
design methodology, it charts the course
for imminent projects. It ignites a flame
of inspiration, ensuring that the fusion
of AI and design continues to yield
innovative, impactful, and intrinsically
human solutions.

Projects by:
Nai Christie Abou Chahla / @NaiChri$tie
Selena Abou Jaoude / @Selen@Jade_
Vera Perla Alalu Saona / VeraP3rla!
Gala Belaúnde Montero / @Gala_BelM0n#
Luca Marco Francois Calandri / LucaM@rco_Fr4n
Daphné, Marlon, Marie Cassand / DaphM@rl0nM#
Mira Gulvady / MiraGul_vad#y
Bárbara María Hernández Gaitán / B@rbM4ría_HG
Laura Marguèrite Xochitl Holtslag Alvarez / L4uraM_X0chitlHA
Meriam Khreiche / Meri@m_Khreiche!
Elina Lucia Delfina Lehmkuhl / Elin@_LucDL
Carlos Alberto Loaiza Gonzalez / C4rl0s_ALG0nz
Fernando López Sobreviela / Fern@nd0_L0pezS
Zara Hisham Ishaq Madanat / ZaraHi$h_Mada
Mariane Meshaka / Mari@ne_Me$h
Gabreile Ghassan Jaber Nino / G4bri_Ghass@nJN
Laura Pardo Monroy / Laur@Pard0_M
Raissa Jordan Paty / Raiss4_JP@ty
Edoardo Pigliacelli Fendi / Edo@rd0_PFendi#
Constanza Prieto Merida / Const@nza_PM
Sofia Roth / Sofi@_R0th!
Sebastián Segares Campos / Seb@stian_SC
Malak Ahmed Mohamed Nazih Tawakol / Malak@_AMNT
Franz Von Baumbach / FranzV0n_B#
Ilona Von Und Zu Liechtenstein / Il0na_VUZL
Agnieszka Maria Widziewicz / Agn!eszka_MW
Ana Paula Yepez Ramia / AnaP@ul_YR
Natalia Zachrisson Arias / Natal!a_ZArias
Haya Faris Nadim Zaro / HayaFN@dimZ

index
Oh no! The copy machine is broken!
So AI is working overtime! page 12
The potential of using AI, specifically
ChatGPT and DALL·E 2, to create Zines,
underground publications known for their
unconventional content. The researchers test
AI’s creative capabilities, design templates
for Zine creation, and reflect on the human
element intrinsic to Zines by contrasting their
AI-driven approach with insights from a Zine
fair in Madrid, highlighting the importance of
individuality and imperfection in traditional
Zine crafting.
The Rise of Eazy J. page 26
How Artificial Intelligence (AI) is
transforming the music industry, from
assisting aspiring artists in enhancing their
music to altering music platforms like
Spotify. The authors detail their experiment
in creating an AI-generated musical persona,
Eazy J, complete with AI-crafted songs,
album cover, profile picture, and music
video, demonstrating current AI technologies’
realistic and practical capabilities in the music
sector.
BRUTO: the fast food chAIn page
36
Dive into the transformative impact of
Artificial Intelligence (AI) on creative fields
like UI, UX, and Graphic Design, highlighting
its increasing role as an assistant and a
potential replacement in some aspects of
design. Focusing on a project named “The fast
food chAIn,” the piece examines how AI was
used to meticulously replicate the design and
customer experience of an existing Spanish
burger chain, VICIO, through a digital entity
called BRUTO, showcasing both the potential
and implications of AI in mimicking and
enhancing human creativity.
There’s a Wingman in AI waiting to
be found. page 54
A project exploring the fusion of AI
technology with Tinder, introducing the
concept of an “AI-Powered Wingman”
to optimize dating profiles and enhance
conversations. However, it underlines
that while AI can redefine online dating,
genuine connections necessitate a balance of
technology and authentic human engagement.
UNPACKED: Can Tech Truly
Mirror the Heart of a Designer?
page 64
In an experiment using AI tools, including
Midjourney and DallE, to replicate the
designs of the Namaste Cabins, findings
revealed both the potential and limitations
of AI in architectural design. Despite
varying descriptions, the AI often generated

similar images, raising concerns about its
understanding of nuanced architectural details
and its capacity to produce functional and
aesthetically pleasing designs.
A Machine That Feels - Can
Empathy and Ergonomics Be
Cultivated by Machine Learning?
page 76
A research project aimed at understanding
the limits of AI in redesigning bathrooms for
the elderly, AI’s empathetic and ergonomic
understanding was tested using tools like
ChatGPT and Playground.AI. Despite creating
specific prompts highlighting the needs of
the elderly, the AI sometimes struggled with
nuanced requests, suggesting that while it
can recognize physical objects, it might lack
the ability to fully understand and visualize
the detailed physical and emotional nuances
inherent in such design challenges.
Navigating the Frontier:
AI, Misinformation, and the
Blurred Line Between Fact and
Fiction page 88
An experiment to understand the power of
AI in creating misinformation, using tools
like Midjourney and ChatGPT to fabricate
fake news and images, aiming to test human
perception against AI-generated content.
AI’s limitations are discovered, especially in
accurately depicting celebrities and certain
expressions, it excelled in creating realistic
landscapes, highlighting concerns about the
rapid evolution of AI tools, their potential
misuse, and the challenge of discerning
authenticity in the age of advanced technology.
A.I: The End of Content Creators?
page 100
An experiment compared AI-generated
designs to human-created designs for a
cocktail bar’s social media rebranding.
While initial AI outcomes lacked depth,
adjustments, and iterations led to 60%
of survey respondents preferring the AIgenerated
images, even when unaware of the
AI involvement.
AI vs Art: A Journey Through the
20th Century showcased through
furniture page 116
The transformation of iconic 20th-century
artworks into sofa designs using AI tools.
Combining generative art algorithms with
training from detailed prompts, the project
aims to capture the essence of artists like
Picasso and Warhol. Despite AI’s impressive
capability in reproducing art, it struggles to
grasp human emotions and the nuances of
intricate prompts fully. The study reveals

insights into AI’s strengths and limitations in
art and emotions, emphasizing the importance
of detailed input for better results.
The Ease Artificial Intelligence
Grants for Evil Use page 130
In the digital era, AI’s potential for content
creation can be manipulated for deceptive
purposes, as demonstrated through our
hypothetical rivalry using ChatGPT and
DALL-E. The ease with which AI can be
misused underscores the urgent need for
ethical AI practices and oversight.
Testing AI’s Taste page 142
Explore AI’s capability in the culinary realm,
demonstrating how ChatGPT assisted in
crafting Italian dishes without possessing
the human senses of taste and smell. While
proving valuable in recipe sourcing and
troubleshooting, the platform emphasized
the importance of human touch, suggesting
its potential as a supplementary tool rather
than a replacement for human intuition in the
kitchen.
Creative Machines: Exploring AI’s
Evolution in Design page 154
The research explores AI’s potential in
design and children’s literature, emphasizing
its capabilities in automating design tasks
and generating creative concepts. While AI
can expedite design processes and make
literature more accessible, it lacks the nuanced
understanding of artistic and emotional
elements essential to book design; human
creativity remains irreplaceable, stressing the
importance of a harmonious balance between
AI and human input in the creative process.
Turning Concrete Jungles into
Green Paradises page 166
A project in Madrid envisions transforming
iconic public spaces like Plaza Mayor and
Puerta del Sol into green zones, utilizing
native plants to combat urban heat and
improve residents’ quality of life. While AI
platforms like Midjourney aid in visualizing
these designs, their accuracy limitations
necessitate human involvement, highlighting
the potential and challenges of blending
technology with urban planning.

Oh no! The copy machine is broken! So AI is working overtime!
Project name: An exploration to obtain overall harmony and visual
coherence in the automatization of Zine creation.
Authors: Ana Paula Yepez and Bárbara Hernandez
Tools and platforms used: ChatGPT and DALL·E 2
Summary of the project and process:
Our objective is to ultimately create a
template for ChatGPT and DALL·E 2
that allows AI to produce Zines. They
are underground “publication(s)…
devoted to specialized and often
unconventional subject matter(s)” 1 .
We are exploring AI’s creativity,
throughout five Zines; in which,
different parameters will be used and
tested. Throughout this report we will
try to answer the question: Can AI
reach and replicate the special quality
that makes Zines what they are?
1 Merriam-Webster. (n.d.). Fanzine. In Merriam-Webster.com dictionary. Retrieved October 3, 2023, from
https://www.merriam-webster.com/dictionary/fanzine
12

Zines (or Fanzines) are a type of
publications that subcultures have used
ever since the early 1960’s. They aren’t
made with the intention to be massively
shared, as they are typically handmade
and about underground topics for specific
audiences 2 . Their formats are infinitely
diverse, and it’s virtually impossible for
two Zines to be the same.
Consequently, it can be agreed upon
that the person behind a Zine is the
one that gives it this unique factor; in
which, content, purpose, and a DIYed
graphical aesthetic all come together.
In this manner, by looking at how the
implementation of AI falls into the
workflow of the creative process of a
Zinester (a Zine maker), we will be able
to see how it affects the medium.
In order to fully grasp the effects of
AI (both text and image based) we are
developing five different Zines with the
same theme, and changing the prompts
that we provide AI to see how the results
differ. Throughout the process, we
have also defined the 8 Page Mini-Zine
format to be followed for consistency
in the results, as well as it being one
of the most common formats used to
create Zines. Ultimately we’ll develop a
template, which will prove whether AI
is successful at replicating the process of
Zine creation.
2 Liming, S. (2010). Of Anarchy and Amateurism: Zine Publication and Print Dissent (Vol.43, No.2.).
13

Initial Explorations with AI.
The first attempts at using AI
(ChatGPT and DALL·E 2) revolved
around discovering its creativity skills
while providing minimal context in
their prompts. We started simple,
which displayed interesting results,
and added complexity and layers of
information moving forward. Then,
by ourselves (without the help of
AI), we determined characters (urban
animals) and context (Madrid’s city
center) in which our Zines would
take place. Furthermore, we asked
ChatGPT for the page by page
content for all of them, and also
obtained each Zine’s titles as well
as a broad and general content list
per individual 8 Page Mini-Zine
(excluding the covers as well as a
conclusion page) from that same
prompt.
First experiments with AIs with limited context.
14

To tackle the first Zine, named
‘Pigeon Ponderings’, we asked
ChatGPT for its specific content page
by page. This was after choosing
ourselves the overarching themes
we liked the most from the original
list that ChatGPT provided in our
initial exploration. At this point
(and multiple times onwards) we
incorporated ‘shouting’ at CHATGPT
(and DALL·E 2 later on) where the
information is written in all caps
when it makes a mistake, doesn’t
provide enough specificity, or it’s too
important of a characteristic that it
must be used in the prompt.
After narrowing down the scope
of the Zine’s content by editing the
prompt, and adding other specificities,
outputs are starting to make more
sense. Nonetheless, and on its own,
ChatGPT kept each page’s structure
balanced, by including what the text
should say and what the image should
look like, as well as a short heading
summarizing it. This information
was directly used for both DALL·E
2 and ChatGPT prompts, with
extra specifications, to obtain the
images and text per page. For this,
we struggled to trust AI’s creative
judgment. We chose the DALL·E 2
images that we liked the most as well
as the ones that went well together.
Moving forward, there was a need to
establish some rules.
Pigeons and Fighting Against the
Machine.
Subjectively choosing the images.
15

Bats and Struggling
with Prompts.
For the second Zine, the same technique was used to obtain its page
by page content. The prompts’ language was simplified, by making it
more direct. As well, in order to add a specific tone to the generated
content, we determined a certain adjective associated with the main
character. Sometimes, we had to add an extra adjective to influence
the results that will come up on DALL·E 2 so the results are cohesive
with the tone determined for the Zine.
We also defined a constraint on ourselves to only choose the first
image that is generated (from left to right) by DALL·E 2. The
prompts for the text in ChatGPT were also kept the same, but added
the changing of ‘tone of voice’ so they don’t sound too structured or
sickenly friendly. In this Zine, we struggled the most with the text
prompts, unlike the images that started to look cohesive. The text for
Zines is the hardest to replicate, as current outputs sound like text
in children’s books, lacks the sarcasm, wit or the double meaning of
‘normal’ Zines.
System for choosing the images.
16

1/5 Write a DALL-E prompt for the cover of a fanzine called “City Fox Chronicles” with 400 characters
maximum. The cover features a dynamic illustration of a fox in the bustling streets of Madrid at night,
capturing the energy of urban wildlife. The title, “City Fox Chronicles,” is boldly displayed, hinting at the
exciting tales within.
2/5 Write a DALL-E prompt for the cover of a fanzine called “City Fox Chronicles” 400 characters long.
The cover features a dynamic illustration of a fox in the bustling streets of Madrid at night, capturing the
energy of urban wildlife. The title, “City Fox Chronicles,” is boldly displayed, hinting at the exciting tales
within. Do it in a rough sketch style and only orange, yellow, and brown colors.
3/5 Write a DALL-E prompt for the cover of a fanzine called “City Fox Chronicles” WITH 400
CHARACTERS IN LENGTH. The cover features a dynamic illustration of a fox in the bustling streets
of Madrid at night, capturing the energy of urban wildlife. The title, “City Fox Chronicles,” is boldly
displayed, hinting at the exciting tales within. Do it in a rough sketch style and only orange, yellow, and
brown colors.
4/5 Write a DALL-E prompt for the cover of a fanzine called “City Fox Chronicles” WITH EXACTLY
400 CHARACTERS IN LENGTH. The cover features a dynamic illustration of a fox in the bustling streets
of Madrid at night, capturing the energy of urban wildlife. The title, “City Fox Chronicles,” is boldly
displayed, hinting at the exciting tales within. Do it in a rough sketch style and only orange, yellow, and
brown colors.
5/5 WRITE A DALL-E PROMPT FOR THE COVER OF A FANZINE CALLED “CITY FOX
CHRONICLES” WITH EXACTLY 400 CHARACTERS IN LENGTH. THE COVER FEATURES A
DYNAMIC ILLUSTRATION OF A FOX IN THE BUSTLING STREETS OF MADRID AT NIGHT,
CAPTURING THE ENERGY OF URBAN WILDLIFE. THE TITLE, “CITY FOX CHRONICLES,”
IS BOLDLY DISPLAYED, HINTING AT THE EXCITING TALES WITHIN. DO IT IN A ROUGH
SKETCH STYLE AND ONLY ORANGE, YELLOW, AND BROWN COLORS.
For the third Zine, we kept the same
prompt format to get the page by page
content and the text. At this time, we
asked ChatGPT for each page’s (and
front cover) DALL·E 2 prompts for
its images. All prompts were kept the
same, and we added a constraint for
the images to be done in only three
colors and a specific drawing style.
The purpose was to reach the 400
characters that DALL·E 2 allows as a
maximum for each prompt 3 as to obtain
precise images. We went through five
prompt trials in order to get what we
wanted, using the cover image as a
Foxes and Pushing the Limits of Prompts.
test run. Even though each response
almost reached 400 characters every
time, it never did. Results also omitted
some important information that
was explicitly written in the prompt
or were wrong. Despite the obvious
failure, we persisted for the sake of
experimentation. Research revealed
that ChatGPT struggles with counting 4
as it is mostly used as a language tool.
Due to this, we decided to look back at
all the factors we had considered while
making the Zines in this series, and
create our own template.
3 OpenAI Developer Forum (2023). DALL-E Prompt Size Limit. https://community.openai.com/t/dall-e-promptsize-limits/343730.
4 OpenAI Developer Forum (2023). ChatGPT cannot count words or produce word-count-limited text. https://
community.openai.com/t/chatgpt-cannot-count-words-or-produce-word-count-limited-text/47380
17

Rats and Building Template(s).
For the fourth Zine we determined all the factors
we considered when making each Zine; from its
page by page content, to the text and images per
page, and other visual elements. By taking into
consideration these, and how we had formulated the
prompts so far: a three-step template was created,
through which new information will be filled in all
caps.
The first one is the Template for the General
Content of all of the Pages, the longest of the three.
Pretend you are a zine creator, a zinester. Create the content for a ____ (big or small
scale) fanzine of __ (# of pages) pages, with a cover, under the name of “______”
(title of the fanzine). The fanzine’s purpose is to ____ (entertain, educate, etc). The
main character is ____ (main character) and the story takes place in ____ (space). The
content must follow a _____ tone so it has a _____ atmosphere for the reader. It must
include content related to __________ (add any info/content that must be included
in the fanzine). Choose an appropriate typeface that goes with the fanzine content
and looks attractive in a maximum size of ___ pt. The fanzine will exclusively be in
______ (color palette or color scheme) and its accompanying images will be done in
______ (drawing style).
Pretend you are a zine creator, a zinester. Create the content for a SMALL SCALE
fanzine of 5 pages, with a cover, under the name of CATS OF THE CONCRETE
JUNGLE. The fanzine’s purpose is to ENTERTAIN AND ACT AS ALTERNATIVE
MEDIA. The main character ARE STRAY CATS and the story takes place in
MADRID. The content must follow a ELEGANT tone so it has aN IRONIC
atmosphere for the reader. It must include content related to PROFILES OF STRAY
AND FERAL CATS IN THE CITY CENTER AND PERSONAL NARRATIVES
OF PEOPLE WHO CARE FOR AND FEED STREET CATS. Choose an appropriate
typeface that goes with the fanzine content and looks attractive in a maximum size of
12 pt. The fanzine will exclusively be in A MONOCHROMATIC COLOR PALETTE
and its accompanying images will be done in SQUARED POLAROID CAMERA
PICTURES.
18

The second one, Template for Written Text per
Page, wasn’t changed from the previous Zine. For
both templates, the role of a Zinester was assigned
to ChatGPT.
Thirdly, the Template for Images per Page, was the
hardest one to finalize.
Pretend you are a zine creator, a zinester. Write text ____ (aprox. length of
the text) for the ____ (order of page in the fanziene) page of a fanzine that
takes place in ____ (place story takes place). This fanzine, titled ____ (name
of fanzine) states _______ (copy here the info provided by the results of the
last template). This text needs to be formatted like ____ (dialogue text or
description text, prose or poem). It needs to sound like the text for a fanzine,
the content must follow a _____ tone so it has a ______ atmosphere for the
reader.
_____ (general content obtained from the first template through ChatGPT).
Must be done in ______ (drawing style) with a ________ color scheme
(monochromatic, analogous, complementary). There is an atmosphere of ___
and ____ (adj to describe the vibes that creator is going for).
As originally, it was wrongly assumed that the more
text and details the prompt had, the more detailed
and accurate the generated images would be.
However, the more constraints given to DALL·E
2, then the more abstract images will be generated.
As a result, it was proven that a simple and direct
prompt structure was the best option. We’ve
discovered that DALL·E 2 struggles with only
having specific colors, but it’s better when a general
color palette or scheme is used instead. Finally,
it’s important to note that the templates need to
be done in chronological order, as each one needs
information from the previous one.
19

Stray Cats and Final Test.
This was the final test for the previously developed templates’
effectiveness, as well as the experience of making a Zine
exclusively using AI and not changing the prompts to get better
results, as we had previously done. Despite the total ‘making time’
being under one hour for the whole process, including combining
everything in the 8-page Mini-Zine, it was a very repetitive and
boring task. Nonetheless, in the end, it can be seen that the end
result was a somewhat attractive, eye-catching, and interesting one.
Zoom-ins of some images.
Final Zine Flat.
A SQUARED POLAROID PHOTO CAPTURES A KIND SOUL FEEDING A GROUP OF
GRATEFUL STREET CATS. Must be done in POLAROID CAMERA PICTURE with a
MONOCHROMATIC color scheme. There is an atmosphere of ELEGANCE and IRONY.
20

First Zine Flat.
Second Zine Flat.
21

Zoom-ins of some images.
Third Zine Flat.
Zoom-ins of some images.
22

Zoom-ins of some images.
Fourth Zine Flat.
Zoom-ins of some images.
23

Zines crafted with AI have made us question
if automating the creation of something that is
created by human minds, beliefs, and imagination,
is possible. By creating templates to make
Zines, despite making the process faster and
yielding more accurate results: it has removed the
enjoyment behind their creation by incorporating a
tedious process of ‘filling in the blanks’.
In the middle of this project, we attended a
Zine fair in Madrid at the Guindalera Municipal
Market. Considering that it was a fairly big
fair for the space, we were able to talk to three
Zinesters. We didn’t approach the topic of using
AI for Zine creation, instead we asked them
about their individual processes. Out of the
three that we talked to, two had numerous ‘pay
what you want’ tags along their tables; when we
asked about it, they said that this practice wasn’t
a way for them to earn money but rather share
their work in a cheap and approachable manner.
One of them, in particular, when asked about the
Risograph printing that his work was done with,
explained that because of the manual calibration
that he had to do to print each different colored
layer at a time on the same sheet of paper, some
of the colors shifted from their planned position.
However, when questioned if he had liked the final
result, regardless of the ‘mistake’, he said that
the mistake was the ‘gracia’ (meaning the whole
purpose) of making his work. Thus, showing
and exemplifying how that special quality that
characterizes Zines, is directly related to a human
factor.
24

Picures from the Zine Fair.
Liming, S. (2010). Of Anarchy and Amateurism: Zine Publication and Print Dissent (Vol.43, No.2.).
Merriam-Webster. (n.d.). Fanzine. In Merriam-Webster.com dictionary. Retrieved October 3, 2023, from
https://www.merriam-webster.com/dictionary/fanzine
OpenAI Developer Forum (2023). ChatGPT cannot count words or produce word-count-limited text. https://
community.openai.com/t/chatgpt-cannot-count-words-or-produce-word-count-limited-text/47380
OpenAI Developer Forum (2023). DALL-E Prompt Size Limit. https://community.openai.com/t/dall-eprompt-size-limits/343730.
25

The Rise of Eazy J.
Project name: Artificial Intelligence & the Music Industry
Authors: Sebastian Segares and Malak Tawakol
Tools and platforms used: ChatGPT, MidJourney, Dall-E, Uber Duck,
Riffusion, Mubert, Kits.AI, Voicify.AI, GenMo.AI, Logic
Summary of the project and process:
Artificial Intelligence (AI) is
invading our world in many different
ways including the music industry. AI
has revolutionized music products,
making it easier for aspiring artists
to make their music sound more
professional, rather than using
affordable music applications (such
as GarageBand, Type Beats, etc.).
Furthermore, because AI is constantly
evolving due to feedback and
interaction, the “torrent of music”
feature is constantly improving and
evolving, making the music industry
less controlled by professionalgrade
music companies. This
has led major companies to face
questions from financial analysts
about their market share dilution.
Besides that, songwriters and song
publishers nowadays admit to having
experimented with existing AI voice
synthesis technologies to help place
their compositions with top-tier
artists.
Artificial Intelligence is not just
altering the songwriters, producers,
and musicians themselves, but it’s
also altering music platforms (such as
Spotify and Apple Music). Research
shows that Spotify uses AI to track
their users’ listening habits by using
deep-learning algorithms to track
down a person’s mood and favorite
music; from that, Spotify is able to
suggest customized playlists based
on personal preferences. Besides
that, music provider applications are
using machine algorithms to enhance
the quality of streaming by tracking
the user’s internet connection and
adjusting it to the audio bitrate. 1
Last May, Spotify reported thousands
of purged tracks from the Spotify
catalog and later on, it was reported
that bots were used to inflate the
streamings artificially for revenue
purposes. In addition to that, Spotify
publicly published a track featuring
artificially cloned voices of both
Drake and The Weeknd. After
achieving a high streaming volume
and, therefore revenue, Spotify
expressed that they would not be able
to remove the song. 2
From there, we took our inspiration
for this project; we created an AIgenerated
musical persona, Eazy J
along with AI-generated music using
various softwares.
26
1
3 Ways AI Is Transforming Music”, The Conversation,https://theconversation.com/3-ways-ai-istransforming-music-210598

VOICE OF POWER
EAZY J
00:00 03:53
Lyrics Queue Audio
27

SONG
CREATION
In order to proceed with our project,
we started researching various Music
AI software in order to create the
instrumental music, write the lyrics,
convert the lyrics to music, create the
album cover, along with the profile
picture and persona of the artist and
finally creating the music video.
Our prompt for the AI Software was
“make me a hip-hop beat from the
90s based in Los Angeles”.
As a start, we used a software called
Riffusion to create the instrumental
music as a base for our song. Our
insights conclude that Riffusion
didn’t generate instrumental
music smoothly, as it had many
inconsistencies; there were weird
sounds in the background. One of
the positive aspects of Riffusion is
that it had a wide range of genres and
freedom in the selection of music. We
concluded that Riffusion was a failure
due to the lack of professionalism.
The second software we used
was Mubert (also for generating
instrumental music). The features and
the final outcome of the music were
too fake and basic. Mubert is mostly
used for marketing purposes rather
than entertainment. Furthermore, in
order to export the final outcome, you
would need to pay.
The third software we used was
Kits. AI, in order to produce a voice
singing. Overall the software was
very realistic and it allowed us to
change the voice into real celebrity
voices, but it did not turn out to be
very successful as the result was not
clean. In other words, you can hear
the voice of the celebrity (in our
case it was Micheal Jackson) and the
person behind the actual voice (in our
case it was Sebastian).
We also used another AI music
generator called Voicify.AI which
was pretty interesting to experiment
with because it was text-to-speech
meaning that we would insert the
text and it automatically put it in a
character’s voice. Voicify.AI also
has a wide range of sound selections
(Justin Bieber, Donald Trump,
Squiward, etc.) On the contrary, this
software is mainly targeted towards
TikTok because of several reasons.
Firstly, at the end of the audio, it
automatically inserts a bot’s voice
saying: “Do you want to upload this
to TikTok?” Besides that, Voicify.AI
does not work with melody, rhythm,
or harmony; so the AI is mainly
targeted towards public speaking
rather than singing.
28
2 “
AI in Music: What Musicians Need to Know””, Berklee Online, https://online.berklee.edu/takenote/aimusic-what-musicians-need-to-know/

We also used another AI music
generator called Voicify.AI which
was pretty interesting to experiment
with because it was text-to-speech
meaning that we would insert the
text and it automatically put it in a
character’s voice. Voicify.AI also
has a wide range of sound selections
(Justin Bieber, Donald Trump,
Squiward, etc.) On the contrary, this
software is mainly targeted towards
TikTok because of several reasons.
Firstly, at the end of the audio, it
automatically inserts a bot’s voice
saying: “Do you want to upload this
to TikTok?” Besides that, Voicify.AI
does not work with melody, rhythm,
or harmony; so the AI is mainly
targeted towards public speaking
rather than singing.
The final AI we used was Uber Duck
and it was finally able to generate
both instrumental music and lyrics
into the sound of an AI-generated
voice. Although Uber Duck had
limited facilities (a few voice options
to choose from) it was centered
around hip-hop and it had a textto-speech
feature. Furthermore, it
also generated a lyric video. The
sound generated by the AI was very
stereotypical; the voice of a darkskinned
American. Finally, in order to
export the song at the end, we had to
pay 5 euros.
Riffusion
Micheal Jackson
KitsAI
SoundCloud
Youtube Channel
29

CREATIVE
DIRECTION
Moreover, we used ChatGPT to
generate the lyrics of the song, in
order to insert it into Uber Duck. The
prompt we used on ChatGPT was
“Write me lyrics for a rapper based
in LA during the 90s”. Afterward, we
asked AI for a list of possible names
for rappers in the 90s. Our prompt
was “Write me names for a rapper
based in LA during the 90s”. The
results that were generated can be
seen in the image. Besides that, we
also used ChatGPT for our creative
direction (font for the album cover).
Our prompt was “Write me font
names for an album cover of a rapper
based in LA during the 90s” We
ended up using Bronx bystreets and
Bebas Neue Regular for font.
As seen in the generated lyrics
and artist names, they are highly
influenced by human behavior. The
lyrics tackle generalized stereotypes
such as racial bias, which can be seen
in the phrase “I am the king of the
west”, “I’m the voice of the people”,
and “The one they all fear“ along
with several other lyrics in the song.
Furthermore, the names are inspired
by Eazy Money (Eazy J), Dr. Dre
(MC Dre), Lil Wayne (Lil’E), etc.
After developing the lyrics and the
song, we proceeded to create the
album cover and profile picture of our
artist Eazy J with MidJourney. Our
prompt for creating a profile picture
using MidJourney was “a profile
picture for a rapper from LA in order
to put on youtube and streaming
platforms. make the picture look as if
it was a professional photoshoot.”
Our prompt for creating an album
cover using MidJourney was
“generate me a banner for a youtube
and soundcloud page for a rapper
from L.A. dont use pictures from a
rapperm make it about los angeles
and hip hop culture there”. The
outcomes were very interesting
because MidJourney allowed us
to keep modifying our preferred
selection. The variations of the
MidJourney AI can be seen on this
page! As seen, the results are very
realistic and effective; the results
were more accurate due to the large
variety of options available.
30

I’m the king of the west
The ruler of the land
With a flow so sick
It like a virus in your hand
My rhymes are like bullets,
They hit you with precision
Leaving you in aw
Like a magician’s vision
I’m the voice of the people
The one they call on
To speak the truth to power
Until the break of dawn
My words are like fire
They burn through the night
Leaving you in awe
With a feeling so right
I’m the one they call the prophet
The one they adore
With a message so clear
It’s like a lion roar
I’m the voice of the people
The one they call one
To speak the truth to power
Until the break of dawn
My rhymes are like a puzzle
They fit together so well
Like a game of chess
I’m always ten steps ahead of the
spell
I’m the king of the west
The one they all admire
With a flow so sick
It’s like a virus in your fire
I’m the one they call the legend
The one they all fear
With a message so strong
It’s like a tidal wave tear
31

Dall-E album cover options
Dall-E profile picture options
MidJourney selected cover
MidJourney selected picture
32

MidJourney album cover options
MidJourney profile picture options
In comparison to Dall-E, MidJourney
was very successful. When we used
Dall-E to explore more AI options
(with the same prompts), the results
generated had random text and the
final outcome was neither realistic
nor accurate (see images).
As a final step, we proceeded
with one of the options generated
from MidJourney to animate the
song cover. For that, we used an
AI called GenMo.AI. The AI was
very interesting, but the main side
effect of it is that it only generates a
30-second animation. Without any
prompt, we only uploaded the sound
cover, the AI generated a loop of
what it understood should be a song
animation for a song cover. Then we
exported the file. GenMo.AI didn’t
allow us to insert the actual song on
the platform.
Afterward, as humans, we had to
intervene with the AI to put the
animation on a loop using iMovie and
also insert the final outcome of the
song.
In comparison to Dall-E, MidJourney
was very successful. When we used
Dall-E to explore more AI options
(with the same prompts), the results
generated had random text and the
final outcome was neither realistic
nor accurate (see images).
As a final step, we proceeded
with one of the options generated
from MidJourney to animate the
song cover. For that, we used an
AI called GenMo.AI. The AI was
very interesting, but the main side
effect of it is that it only generates a
30-second animation. Without any
prompt, we only uploaded the sound
cover, the AI generated a loop of
what it understood should be a song
animation for a song cover. Then we
exported the file. GenMo.AI didn’t
allow us to insert the actual song on
the platform.
33

Afterward, as humans, we had to
intervene with the AI to put the
animation on a loop using iMovie and
also insert the final outcome of the
song. On a final note, we had to use
an application called Logic in order to
export the song.
All in all, this process was very
interesting because we got to test
different AI algorithms and we got
to examine the power of wording
phrases and how it can impact the
final outcome. A common factor that
we examined throughout the AI’s is
the director and stereotypical racial
bias of the Western hip-hop culture.
This can be seen in the lyrics, the
images generated, and even the audio
of the singer. On a side note, the AI
didn’t generate curse words in the
lyrics, which was surprising!
The future of the music industry lies
in the hands of musicians, producers,
and application algorithm. Nowadays
generated AI-music is capable of
creating music that is very similar
to what already exists. For the
future, we believe that AI-generated
lyrics can be used in sampling, and
instrumental music can be used
for inspiration of actual songs. An
interesting point to note is that in the
future, vocal cloning can affect the
ethical concerns and copyright issues
of existing and dead artists. Lastly,
we question the validity of songs
released in posthumous albums of
existing artists such as XXTentaction,
Micheal Jackson, as well as many
more. 3
Logic
34
3
“AI Music Production: Enhancing Human Creativity or Replacing It?, Musicians Institute, https://www.
mi.edu/in-the-know/ai-music-production-enhancing-human-creativity-replacing/

“I’m
the
king
of the
west”
35

BRUTO: the fast food chAIn
Authors: Carlos Loaiza, Gala Belaunde Montero,
Luca Calandri
Tools and platforms used: ChatGPT, Midjourney,
Photoshop AI Beta and Adobe Firefly
In a world where technology
continues to redefine the boundaries
of creativity, a silent revolution is
taking place in the realms of UI, UX,
Graphic Design and even Branding.
Gone are the days when these fields
were exclusively driven by human
ingenuity and artistic flair. The
brushstrokes of innovation are guided
by lines of code, and the bearers of
change are not designers per se, but
Artificial Intelligence.
In this brave new era, AI tools are
emerging as formidable contenders,
not merely as assistants but as
replacements, that challenge the
very essence of what it means to be
a creative professional in the digital
age. As we delve into the intricate
relationship between AI and the
creative industries, we’ll explore
the ways in which machine learning
algorithms, deep neural networks,
and data-driven insights are not only
streamlining the design process but
also redefining the visual language of
brands. From crafting seamless user
experiences to curating iconic brand
identities, AI is asserting itself as an
indispensable force, raising profound
questions about the role of designers
and creatives in this AI-powered
landscape.
“The fast food chAIn” is a project
in which every decision, from web
creation to customer interface, is
driven not by human intuition but
by the power of algorithms. Yet
the most important aspect of this
exercise is that it all comes down to
copying an existing entity: VICIO
- an already existing burger chain
in Spain. It’s not science fiction;
it’s the reality that is rapidly taking
shape. In this journey, we explore
the tantalising prospects of copying
a thriving fast food chain in Spain
with the unrelenting assistance of AI
tools. BRUTO: where every detail,
and each customer interaction is
meticulously orchestrated by artificial
intelligence that was trained to
assimilate the design of VICIO. The
restaurant’s crowdfunding digital
page (compra.vicio.com/en) received
an honourable mention as well as
awards, by awwwards.com - a web
design award institution that looks
closely into the craft and detail of
web development.
36

As we embark into the heart of
the AI-powered revolution, we’ll
discover how machine learning
algorithms, digital tools, and
automation are turning the world
upside down. Not just that, but
questioning the detail to which
Artificial Intelligence can inspire
itself, out of an already existing
system.
In the fast-paced world we live in,
efficiency and consistency have
always been key. BRUTO, leverages
AI to a degree previously unseen in the industry: that one of replication. One
of the standout aspects of this project is its ability to analyse already existing
customer preferences, visual trends, and tendencies of VICIO. It’s as if the AI
has a direct line to the customer’s wants and needs - the role of technology
extends itself beyond what is normally expected. In the realm of UI and
UX design, it tailors the digital experience for each customer, mimicking
a personalised journey from the moment they visit the website. With AI’s
ability to understand behaviour and visual queues, it’s akin to having a digital
concierge service that adapts to newer customer’s needs.
Midjourney Generated Image
Midjourney Image edited by Photoshop AI Beta
37

Midjourney Prompts for Image Replication
“The fast food chAIn” is a project in which every decision, from
web creation to customer interface, is driven not by human intuition
but by the power of algorithms. Yet the most important aspect of
this exercise is that it all comes down to copying an existing entity:
VICIO - an already existing burger chain in Spain. It’s not science
fiction; it’s the reality that is rapidly taking shape. In this journey,
we explore the tantalising prospects of copying a thriving fast food
chain in Spain with the unrelenting assistance of AI tools. BRUTO:
where every detail, and every customer interaction is meticulously
orchestrated by artificial intelligence that was trained to assimilate
“AI tools are emerging as
formidable contenders, not
merely as assistants but as
replacements.”
38

the design of VICIO. The restaurant’s crowdfunding web page
(https://compra.vicio.com/en) received an honourable mention as
well as awards, by https://www.awwwards.com - a web design
award institution that looks closely into the craft and detail of web
development.
As we embark into the heart of the AI-powered revolution, we’ll
discover how machine learning algorithms, digital tools, and
automation are turning the world upside down. Not just that, but
questioning the detail to which Artificial Intelligence can inspire
itself, out of an already existing system.
Midjourney Generated Image
39

In the fast-paced world we live in, efficiency and consistency have
always been key. BRUTO, leverages AI to a degree previously unseen in
the industry: that one of replication. One of the standout aspects of this
project is its ability to analyse already existing customer preferences,
visual trends, and tendencies of VICIO. It’s as if the AI has a direct
line to the customer’s wants and needs - the role of technology extends
itself beyond what is normally expected. In the realm of UI and UX
design, it tailors the digital experience for each customer, mimicking a
personalised journey from the moment they visit the website. With AI’s
ability to understand behaviour and visual queues, it’s akin to having a
digital concierge service that adapts to newer customer’s needs.
Parameters for Namelix AI
To start off, the project entailed creating a brand that, similarly to
VICIO, showcased itself as attractive to young Spanish adults but also
using radical design elements. For this, we used AI tools that would help
to generate a name and brand image, and the rest would then be inspired
directly by VICIO’s brand, since algorithms like Midjourney inevitably
base their outputs on the original images used as prompts, all of them
being extracted from VICIO’s investment web page.
First, VICIO’s look and feel were analyzed in order to understand which
instructions to give to the AI’s later on. According to the designer of
the brand, Pablo Amade, “It all happened during the confinement”, so
40

“boosting people’s morale was almost an obligation. [...] We needed
to touch, hug, smell, kiss, bite... We needed to SIN. Just what we
had been forbidden to do. Vicio celebrates our most carnal instincts.
Those that give us life.” VICIO’s brand is based on boldness and 70s
and 80s adult films, using naughtiness and colors like red and black
for all the visual elements of the system.
Once that was sorted, the next steps entailed figuring out the food
genre, a name and understanding the key elements that could be used
to make the brand connect with people in the same way VICIO did.
We didn’t want to create a burger chain, since that would make it too
easy for image generation softwares to recreate the brand’s imagery,
so we asked ChatGPT what other fast foods are popular in Spain
for takeaway. GPT provided a variety of national and international
foods, like Kebabs or Bocadillos, but the team decided to stick to the
first one provided: Pizza. According to ChatGPT “Pizza delivery is
widely available, with many local pizzerias and international chains
offering a variety of styles”. It’s true that this description didn’t give
us any useful information, but we decided to proceed with pizza, as
the “opposite” to burgers, with the possibility of having a branding
that did not differ much from VICIO’s.
Conversations with ChatGPT
41

Name Results by Namelix AI
Next, we wanted to understand
what kind of branding would appeal
to the same target customers as
VICIO burgers, so we asked the
text generator which kind of visual
language would be appealing to
adults between 19-30 years who are
looking for a pizza chain. To keep it
short, the AI told us that “To create a
visual language that appeals to young
Spaniards aged 19 to 30 for a fastfood
pizza brand, you should consider
a design that is modern, vibrant, and
relatable.” and told us to include
elements like “a lively colour palette
that includes vibrant and appetising
colours like red (for tomatoes and
sauce), green (for veggies), and
yellow (for cheese).”, “a modern and
bold font for your brand name and
messaging.”, and “images of mouthwatering
pizzas, fresh ingredients,
and happy young customers enjoying
their food. Use high-quality,
appetising food photography that
makes the pizzas look delicious.”
Once the visual image and the genre
were sorted, we had to give our brand
a name that would be aligned with all
the aforementioned characteristics.
For this specific task, the tool used
was Namelix, an AI device that
gives users a name for their brand,
based on a series of keywords. In
the case of BRUTO, it was very
straightforward: “pizza” “Italian”,
“fast food”, and “Italy”. It provided
many general names and logos. None
of them had any unique personality,
but the name that caught our attention
was: BRUTO. The structure of the
name felt similar to VICIO’s, but the
-Pizza part of the name made it sound
cheaper, so we stuck with simple
BRUTO.
After we had our brand, it was time
to replicate VICIO’s compra.vicio.
com. This webpage was created as
42

a crowdfunding tool made by the chain in
order to raise capital for future ventures.
Launched in May 2023, the webpage features
particular animations, professional, unique
images, and 3D iconography.
In order to recreate the page, we used the
Figma software along with plugins that will
be explained further on, and for the visual
elements of the project, we used Midjourney,
Photoshop 2024’s AI features, and Adobe
Firefly.
Image experimentation with Adobe Firefly
“Appetising food
photography.”
Image experimentation with Midjourney
43

Midjourney, in collaboration with
Adobe Firefly, provided a powerful
platform that allowed for mimicking
and replicating already existing
images, all of them extracted from
VICIO’s rich visual language, with
astonishing precision. Thanks to the
subscription to Midjourney, we were
able to input VICIO’s original images
and, with prompts like “Person
sitting on a white chair, with a white
suit, with a red background, holding
a slice of pizza which is flaming”,
we managed to create images that
resemble Vicio’s visuals, but with
Bruto’s essence. Many of these
images, though, had to be edited in
Photoshop to incorporate Bruto’s
logo, or digitally erase some models
in awkward positions.
Aside from these big software, we
also used Figma plugins for image
generation: Ando and Conjure.
AI, which runs on Dall·e. Ando is
a software that, from a sketch, a
prompt, or a shape allows designers
to generate images. However, this
plugin isn’t as smart as Midjourney
so, when asked to create a lineart
of the map of Spain, including its
autonomous communities, the result
wasn’t anywhere near the map of
Spain, so we couldn’t add anything
from this software. On the other hand,
Conjure.AI did turn out to be useful.
In the original page, the map of Spain
has fire icons to show where VICIO
is located and, for our page, we
decided to use olives generated with
this plugin. After choosing “clay” as
the appearance of the icon, and giving
the prompt “black olive” to the AI, it
gave a very accurate icon of an olive,
so this one ended up being useful for
the final page.
Image results by Midjourney
44

45

46

47

Once the visuals were done, we just
had to rework the text from VICIO’s
original page to fit Bruto’s style.
We also wanted to see how an AI
could understand crowdfunding and
come up with rewards for campaign
supporters. For this, we also used
ChatGPT.
To help the AI understand what to
write, we gave it a role: «From now
on, you’re a UX designer. You work
in a pizza chain called Bruto.» This
gave it a sense of Bruto’s language,
audience, and the purpose of our
website. With that context, we asked
for things like a short paragraph
explaining why we needed to raise
capital and details about Bruto’s
achievements, like innovative recipes,
restaurant locations in Spain, and
the number of pizzas sold since
we started. We also asked it to
come up with rewards for different
investment levels, making sure bigger
investments got better rewards. And
we asked where we should open 18
stores in Spain.
Surprisingly, the AI did a pretty good
job. It didn’t sound too fancy and
stayed close to VICIO’s style. The
rewards system was a bit confusing
at first, but with some guidance, it all
came together.
In the end, creating Bruto was a mix
of creativity and AI-powered help,
resulting in a brand and webpage that
paid homage to VICIO while adding
its own flavour. A testament to the
boundless possibilities that emerge
when creativity and technology join
forces in the digital age.
BRUTO, reminds us that AI is no
longer a distant concept but a tangible
force poised to reshape numerous
industries. It tantalisingly presents
speed and precision that were once
considered unattainable, raising
profound questions about the extent
to which Artificial Intelligence can
inspire itself based on an already
existing system. It’s a testament to
the evolving nature of creativity in
48

the digital age—a narrative where technology isn’t just a tool but a
catalyst for redefining how we perceive, create, and innovate.
The replication of the graphic experience within this project not only
preserves cherished traditions but also boldly pushes the boundaries
of design processes. AI, in its role as a digital maestro, faithfully
replicates the visual essence of an established brand, ensuring that
the customer experience remains unchanged. However, it’s crucial
to recognize that this creative revolution isn’t about replacing human
endeavours; it’s a symphony where technology harmonises with
human ingenuity, marking a paradigm shift in the way we perceive
and harness artistic expression.
49

50
In the fast-paced world of creative
innovation, AI serves as an
invaluable ally, offering consistency
and precision while amplifying
the artistry of the human touch. As
we venture deeper into this AIpowered
era, we must embrace the
transformative potential that lies
at the intersection of technology
and creativity. It’s a realm where
tradition is preserved, and innovation
knows no bounds—an extraordinary
journey where AI is the brushstroke
that enhances the canvas of human
creativity
.
In conclusion, BRUTO and the rise
of AI as a creative force symbolise
an evolving era—one where
technology redefines the essence
of artistry. We find ourselves at
the threshold of an exciting digital
frontier where AI is no longer a
silent revolution but a resounding
symphony of possibilities. As we
continue to explore the profound
impact of AI across various
industries, we are reminded that
the creative landscape, guided by
lines of code, continues to evolve,
challenging us to redefine what it
means to be a creative professional
in this brave new world of limitless
innovation.

51

52

53

There’s
a Wingman
in AI
waiting
to be
found.
Project name: Pushing AI to Spark Tinder Conversations
Authors: Nai Abou Chahla, Elina Lehmkuhl
Tools and platforms used: Tinder, ChatGPT
Summary of the project and process:
In the ever-evolving landscape of
online dating, we find ourselves at
the intersection of human connection
and artificial intelligence. This
project, an audacious expedition into
the unknown, seeks to challenge the
boundaries of AI’s conversational
abilities on Tinder.
What does it take for AI to seamlessly
initiate and sustain conversations
on a platform as nuanced as Tinder?
How can we harness the power
of AI-driven chatbots to engage
and captivate potential matches?
And, ultimately, why embark on this
journey of human-AI interaction
within the realm of modern romance?
We will be delving into the depths
of AI’s conversational prowess on
Tinder, dissecting its limitations,
celebrating its triumphs, and
questioning the very essence of
why we test these technological
boundaries. Welcome to an
exploration where the heart meets the
algorithm, and love is, quite literally,
in the digital details.
54

AI is my Wingman
An AI-Powered Wingman
In today’s digital age, finding the
perfect match on dating apps can be
a challenging endeavour. Imagine
having an AI-powered wingman
that crafts the ideal Tinder profile,
utilising the latest
statistical compatibility
data to boost your
chances of connecting
with the right person.
Not only that, but this
AI companion can
also initiate engaging
conversations with your
matches, ensuring your
interactions are not
only seamless but also
genuinely captivating.
In the ever-evolving
landscape of design
and creativity, the role
of artificial intelligence
(AI) has emerged as a transformative
force, poised to revolutionize the way
designers approach their craft. Long
gone are the days when AI was solely
perceived as a tool for automation
and data analysis; today, it stands as a
possible creative assistant, offering
designers an array of innovative
capabilities.
AI is reshaping traditional design
processes, providing fresh insights,
and challenging the boundaries of
human creativity. How, you ask?,
we’ll uncover the synergy between
human imagination
and AI’s computational
prowess, highlighting
the exciting
possibilities and
ethical considerations
that come with this
symbiotic relationship.
In an era where
innovation and
originality are highly
prized, AI’s integration
into the creative
realm has sparked a
dialogue about the
balance between human
ingenuity and machinegenerated
inspiration. However, there
are ways to use AI-technologies as a
collaborator.
55

AI is my Wingman
Process Outline
Where the quest for love and
connection often begins with a right
swipe, creating an eye-catching
Tinder profile has become an
art form. It’s a world where first
impressions count for everything, and
your profile is the canvas upon which
you paint your unique self. As the
world of design evolves, AI-driven
design tools have entered the arena,
offering innovative ways to craft that
perfect profile.
As aforementionned, AI-driven
design tools have the capacity
to analyze vast datasets of user
preferences, trends, and successful
profiles. This analytical ability
provides valuable insights into what
works and what doesn’t when it
comes to attracting potential matches.
By incorporating these tools into the
profile creation process, you tap into
a wellspring of data-driven creativity.
Statistical Anlaysis
Research
ChatGPT 3.5 Trend
Analysis
Selected information
from ChatGPT
Curated Tinder
Profile
In order to test where ChatGPT 3.5
succeeds or fails as a collaborator,
a methodology was followed that
included both the ChatGPT’s
curated conversation straters and
refinement by the designer through
the underlying understanding of what
is expected by online dating.
56

AI is my Wingman
Swipe right to all (Random)
potential matches
Tweak the answer through
personalisation on ChatGPT
Prompt: limit it to harry potter
(ChatGPT)
"¡Hola! ¿Eres un verdadero fan de
Harry Potter? ¿Cuál es tu casa de
Hogwarts favorita?
After further iteration, plug
back into Tinder.
Input Prompt with information
collected from matches to create
a conversation starter
Prompt: a conversation starter
with someone that is interesated
in gym, harry potter, play station
or football in spanish
(ChatGPT)
Repeat input to output process
through GPT with message
responses
"¡Hola! ¿Tienes algún truco mágico
para mantenerte en forma en el
gimnasio mientras sigues a tu equipo de
fútbol favorito y juegas a Harry Potter
en PlayStation?"
57

AI is my Wingman
My Interests
AI Advantages
As shown through this project, AI
can assist in crafting a bio that speaks
directly to your potential matches by
generating personalised, engaging
content based on your interests and
personality traits. Beyond the profile,
AI can also help initiate conversations
with potential matches by generating
witty and relevant opening lines
tailored to shared interests or
commonalities. In the case above, it
was the interest in Harry Potter that
was shown on his bio. After using
the prompt “create a converstation
starter for a match with an interest in
Harry Potter” and refining ChatGPT’s
answers, a cohesive converstation
took place which then got into more
philosophical conversation.
58

AI is my Wingman
AI Limitations
While AI can optimize a profile
for success, there’s a fine line
between enhancing your appeal and
misrepresenting yourself. Overreliance
on AI could lead to a profile
that feels inauthentic, potentially
disappointing matches when they
meet the real you.
Having created a profile based on
the most appealing information to
men, according to statistical data
from Tinder and ChatGPT’s trend
analysis, a lot of the information
was curated based off of a
generalised picture and not by
for a unique individual. For
instance the name ‘Hannah’
was was shown to be the
most popular name and the
one to have had the biggest
number of swipe rights than
any other name (Sylvester,
2021). The age 26, is the most
common age as this profile
was created to augment the
number of matches through
commonalities.
59

AI is my Wingman
Athenticity is Key!
For this sake of this process, we
created a catfish profile. This has
sparked certain conversations about
incorporating AI into dating apps
due to the raise in concerns about
data privacy. Users must be vigilant
about sharing personal information
and ensure that their AI-generated
content doesn’t inadvertently divulge
sensitive details and while AI can
assist in starting conversations, it
can’t replace the authenticity of
genuine human interaction.
ChatGPT Without Refinement
As such, we tested the number of
responses solely using ChatPT with
no refinenments and as we predicted,
the response rate was very low and
was often left on read.
Relying solely on AI-generated
messages may hinder the
development of meaningful
connections. As such many of the
suggestions for conversation by
ChatGPT were altered to a degree
to make it more relatable or see,
authenitc.
60

AI is my Wingman
ChatGPT With Refinement
Prompt: Create a “That sounds exciting!
response for this... Colombia must be a
(ChatGPT)
beautiful place to explore.
What brings you here,
and do you have any
must-visit places on your list while
you’re in town? As for me, I’m
always up for an adventure, whether
Too Curated
it’s trying out new hiking trails or
discovering hidden gems in the
city. Any recommendations for an
adventurous spirit like me?”
This response not only expresses
your curiosity about his plans but
also gives him the opportunity to
share more about his experiences and
potentially suggest some exciting
places or activities for you to try
together.”
Prompt: Can you make it
shorter
(ChatGPT)
Refining the
response for
Tinder
“Certainly! Here’s
a shorter response:
Colombia sounds
amazing!What brings you
here, and do you have
any exciting plans while you’re in
town? I’m always up for adventure,
so if you have any recommendations
or want to explore together, let me
know!”
61

AI is my Wingman
How It All Ties Together
The feedback loops between
designers and AI tools are crucial
in refining the creative process.
Designers can provide input and
direction, while AI tools respond
with suggestions, continued with
further refinements by the designer.
This dynamic exchange fosters a
continuous cycle of improvement,
allowing creators to fine-tune
their vision based on AI-generated
insights.
It’s a dialogue that transcends the
boundaries of human and machine,
resulting in a synergy of ideas. AIdriven
algorithms and chatbots can
be valuable tools for creating dating
profiles that maximize compatibility
based on trends and data. They
can analyze user preferences and
craft profiles that are more likely
to attract potential matches. The
process also shows that that the
first impression is crucial in online
dating. Using witty and engaging
conversation starters can lead to
more meaningful conversations
and higher response rates from
matches, with refinenment of course.
Additionally, mentioning common
hobbies and interests in a dating
profile significantly increases the
chances of matching with someone
who shares those interests,
and as such the tailoring of
conversation, especially at
the start through using the
information provided on
the profile, is essential for
building rapport. However,
While AI can enhance
the dating process, it’s
important to consider ethical
implications, such as privacy
and transparency when using
technology to optimize dating
profiles and interactions.
Although AI can assist in creating
profiles and initiating conversations,
genuine human connection remains a
crucial factor in building meaningful
relationships. Technology should
62

AI is my Wingman
copeen, no repace, auenic
ineracions. s son aGs
refusa o personaise o an user
need een if i is crude, sos a
conersaion sraeies a need o
e adused ased on user feedack
and eoin preferences.
Swiping Right to AI
n a nuse, epoin aG
o supercare dain profies and
car poenia aces socases
o ecnoo can reap desin
processes and, in this instance, the
onine dain eperience. Hoeer,
i aso iis e iporance
of personaiaion, respec, and
onoin iproeen in foserin
enuine connecions in e diia
dain ord, u aso iin e
design process as we still need
Huan undersandin, epa and
coaoraion o rea rasp user
needs and creae succesfu oucoes.
Sources
Hu, H. Su, X. (2019) “Gender-specific preference
in online dating”. SpringerOpen. BioMed Central
Ltd (2023)
Dixon, S. (2023) “Tinder - Statistics & Facts”.
Statista.
Sylvester, K. (2021) “These Are The Most Right-
Swiped Names On Tinder”. Your Tango.
Nuzzo, S. (2023) “From the ‘Situationship’ to
Gaming Dates, Here Are the Biggest Tinder Trends
of 2022” LifeHacker.
63

UNPACKED: Can Tech Truly Mirror the Heart of a Designer?
Project name: A Glimpse into AI´s Architectural Design Capabilities
Authors: Fernando López & Sofia Roth
Tools and platforms used: Midjourney, Dall E and ChatGPT
OUR QUEST WITH AI IN ARCHITECTURAL DESIGN:
A PERSONAL DIVE INTO THE UNKNOWN
As the world of architecture
meets the prowess of artificial
intelligence (AI), we delve deep
into the capabilities of AI in
architectural design, using the
Namaste Cabins as a benchmark.
There’s no doubt that artificial
intelligence (AI) has taken the
world by storm. Its applications
span countless industries, from
medicine to finance, and now,
architecture. But just how
effective is AI in capturing the
essence of a human-designed
architectural wonder? This article
delves into an experiment based
on Rodrigo Lopez’s Namaste
Cabins project, aiming to gauge
the prowess and limitations of AI
in this realm.
A Glimpse Into AI’s
Architectural Design Capabilities
64

UNDERSTANDING NAMASTE CABINS
Namaste Cabins is not just a structure; it’s a holistic experience.
Envision modular meditation cabins, fostering unparalleled
self-connection amidst the serene backdrop of Valle de Mosses. Built
with sustainability and modularity at its core, these cabins offer
adaptability, presenting an interior space perfect for meditation or
massages, thanks to efficient distribution and movable furniture.
An Architectural Haven in Valle de Mosses
65

MORE ON: UNDERSTANDING NAMASTE CABINS
Valle de Mosses, Namaste Cabins offer a revolutionary approach to
meditation retreats. These modular cabins, built with environmental
consideration, adapt seamlessly to various landscapes, epitomizing
versatile design. They merge indoors with outdoors, showcasing the
stunning local landscape and allowing users to connect deeply with
nature. Their flexible design adjusts based on space requirements, and
the interiors, enhanced by movable furnishings, cater to meditation or
relaxation sessions.
Taking cues from biophilic designs, the cabins utilize local materials
and are constructed efficiently using prefabricated cross-laminated
timber, reducing environmental impact. Elevated on metal supports,
they are accessible for all and come in two sun-exposure orientations.
Their sustainability features include solar panels for LED lighting,
rainwater harvesting for communal gardens, and designs that promote
natural ventilation.
Namaste Cabins are more than just structures; they’re a benchmark for
eco-friendly retreats, infusing Valle de Mosses with a unique meditation
experience in tune with nature.
66

THE EXPERIMENT WITH AI
The initiation into AI tools was
a learning curve, with different
programs offering varied results
for the same descriptions. While
DallE fell short in generating
useful renders, Midjourney was
relatively more effective, although
not without its challenges.
DALLE
MIDJOURNEY
The initial strategy has been to craft detailed prompts, allowing us to
observe the program’s evolution and discern the variance between
detailed and more general instructions. Our preliminary findings suggest
that specificity might be key if we aim to replicate or emulate a
particular project with accuracy. While we’re optimistic about AI’s
capabilities to produce something closely aligned, we’re still uncertain
if it can truly capture the essence and intricacies of this specific project.
Using AI tools like Midjourney, Dall E, and ChatGPT’s, the experiment
involved feeding the program details of the Namaste Cabins project to
replicate the designs.
Can AI Mirror Human Precision in Architectural Design?
67

KEY OBSERVATIONS
The AI frequently misinterpreted certain aspects and often fell
short in capturing the nuanced, human-like intricacies inherent
in architectural designs. Most notably, regardless of the vast
differences in our descriptions, the AI consistently produced
images bearing striking similarities. This consistency raised
questions about its ability to truly understand intricate details
and its capacity to generate designs that are both functional and
visually appealing.
Insights into AI’s Architectural Interpretations
68

Minimal Description:
In the initial iteration without much detail, the image’s
pilotis displayed a resemblance, and even the cabin’s shape
bore similarities to Rodrigo’s project.
First Attempt
69

Detailed Description:
Despite being much more specific in our instructions, the outcome
remained consistent with the first. The AI seemed unable to
accurately render the correct base. It appeared to prioritize either
the cabin’s shape or the platform, yet neither was quite right.
Second Attempt
70

Emphasis on Base and Pilotis:
When the description concentrated on the base and the
4-metre-tall pilotis connecting the ground to the base, the AI’s
focus seemed divided, which further highlighted its struggles
in capturing intricate design elements.
Third Attempt
71

Using the intricate process of
incorporating an actual image
from Rodrigo’s project, the
experiment aimed to gauge the
descriptive capabilities of AI.
By presenting this image to
the AI, a textual representation
was generated, showcasing the
artificial intelligence’s perception
and understanding of visual data.
This description was then fed
back into the system as a prompt,
urging the AI to produce a more
elaborative output. Intriguingly,
the end result bore little
resemblance to Rodrigo’s original
work. The disparity highlights the
limitations and unpredictability of
AI in replicating human creativity
and interpretation. While AI
has made significant strides in
processing and understanding
vast arrays of data, there remains
a nuance and depth to human
perception and artistic intent
that it has yet to fully grasp.
The experiment underscores the
importance of human involvement
and discretion in interpreting and
translating artistic endeavors.
Fourth Attempt
72

AI LIMITATIONS IN ARCHITECTURAL DESIGN
Diving into the world of architectural design,
it’s clear there’s a gap when it comes to AI.
Sure, AI can throw out some pretty cool and
inspiring ideas, but when it comes down to the
nitty-gritty details of a project, like our beloved
Namaste Cabins, it tends to stumble. Getting AI
to fully grasp elements like elevations or even
the true intent behind a design is very difficult
at this moment. And when you look at the
designs AI comes up with and place them
side-by-side with what our human brains create,
the differences are pretty hard to miss. The
challenges in making AI understand elevations,
proportions, and design intent...
The Chasm Between Machine and Man
73

THE STATEMENT
Namaste Cabins experiment has
thrown light on AI’s strengths
and weaknesses in architectural
design. Though AI can be a source
of unique aesthetic inspiration, it’s
clear that entrusting it with the full
spectrum of functional,
real-world architectural tasks is
still a stretch. Rodrigo Lopez’s
design is a testament to the
unmatched essence and intuition
that human architects bring to the
table, emphasizing that, for now,
AI is a companion in the design
process and not a replacement.
AI - An Architectural Inspiration, Not Replacement
Our Quest with AI in Architectural Design: A
Personal Dive into the Unknown
74

Bibliography
Meditation Cabins | RODRIGO LOPEZ SOBREVIELA. (s. f.).
https://rodrigo-lopez-sobreviela.foliohd.com/meditation-cabins
Ahramovich, A. (2023, 15 agosto). AI in Architecture: 10 Use
Cases, Examples & Technologies. Itransition. https://www.itransition.com/ai/architecture#:~:text=AI%20allows%20them%20
to%20brainstorm,workflows%20to%20the%20next%20level.
BBC News Mundo. (2023, 29 mayo). Las 3 etapas de la inteligencia
artificial: en cuál estamos y por qué Muchos piensan que la
tercera puede ser fatal. BBC News Mundo. https://www.bbc.com/
mundo/noticias-65617676
75

A Machine That Feels - Can Empathy and Ergonomics Be
Cultivated by Machine Learning?
Project name: Nature VS Nurture
Authors: Mariane Meshaka, Mira Gulvady
Tools and platforms used: ChatGPT, Playground AI
Through this research project,
our main goal is to explore the
limits of AI machine learning’s
specificity and the loop-training
methodologies necessary to
achieve specific or desired
outcomes. To undertake this study,
we chose to task AI with a design
challenge focused on physical
ergonomics—specifically, the
redesign of bathroom spaces to
cater to the needs of the elderly.
This is particularly intriguing
due to AI’s known limitations in
empathetic understanding and
its ability to grasp and visualise
ergonomic and physical user
flow concepts. Using AI to get
to know more about the physical
and emotional needs of elderly
people, we took this information
and inputted it back into the same
AI, asking it to generate a prompt.
This prompt was then inputted to
an image generation AI to see how
it could produce results that were
ergonomically and emotionally
catered to the needs of elderly
people.
76

We created a highly specific design
brief, placing significant emphasis on
sensory aspects, physical challenges,
and spatial dimensions. Our goal
was to assess Ai’s sensitivity to
factors such as the experiential
dimension of a space, the nuances
in human movement and behaviour.
We chose the bathroom space as it
provides a high degree of freedom
and adaptability in the redesign
process. As we transition from our
earliest years to later stages of life,
bathrooms typically undergo minimal
changes such as simply adding
features like potty seats, stability bars
and more. Our ultimate goal is to
explore and push the boundaries of
AI’s capabilities to create an optimal
bathroom experience for the elderly,
(enhancing the accessibility by
taking) that takes into consideration
their diverse requirements and
physical limitations.
The research methodology we
followed throughout our study
involved granting AI full control over
the design solution. We used two
key AI software tools, ChatGPT and
Playground.AI, due to their relevance
in supporting our research hypothesis.
ChatGPT played a vital role in our
research process, allowing us to
gather valuable insights and strategies
necessary for the empathetic phase
of our study. It also helped us in
formulating and refining the prompts
used for image generation. On the
other hand, PlaygroundAI was
primarily utilised as the platform
where we input the generated prompts
to achieve realistic and precise
visual representations of the design
proposals.
“How can AI machine
learning be harnessed
to overcome its inherent
limitations in
empathetic
understanding and
physical
ergonomics,
particularly in the
context of redesigning
bathroom spaces to
cater to the specific
needs of the elderly?”
77

AI and
Empathetic
Understanding:
(needing assistance for showers,
not being able to sit on the toilet…)
We even asked the programme for
suggestions on how to enhance the
overall experience. To take it a step
further, we inputted the findings onto
Playground AI to see how it could
visualize empathy.
THE PROCESS
To gain a deeper understanding
of the challenges and needs of the
elderly within bathroom spaces, we
asked ChatGPT to generate a list
of questions to empathise with the
elderly in regards to their experience
in bathroom spaces, We then inputted
those same questions asking ChatGPT
to put itself in the hypothetical
perspective of an elderly person.
At first, our phrasing resulted in an
error, as the language used conveyed
that ChatGPT was indeed an elderly
person. We then rephrased our
request into a question that set up a
hypothetical scenario.
The initial focus was on the physical
obstacles an elderly individual might
encounter, to try to understand how
ChatGPT perceived spatial challenges
and whether its database could
provide insights into these difficulties.
As our exploration continued, we
pushed ChatGPT further, attempting
to extract information on the feelings
experienced by the elderly due to
their physical limitations within these
spaces and in specific scenarios
78

Figure 1,2,3. Images that compassionately captures the
experience of an elderly individual with limited mobility
navigating and using a bathroom
THE FINDINGS
“I am not
a real person”
was the first response we got from
ChatGPT when we asked it about
the main physical obstacles and
challenges it would face as an elderly
person. With questions including
terms like “feel” and “think”, the
programme issued a notification “I
do not have personal experiences or
a physical presence” encouraging
us to reframe the sentence to a more
hypothetical scenario. In spite of this,
ChatGPT managed to provide us with
interesting insights that followed
the logical sequence of actions an
elderly person would follow within a
bathroom , from entering through the
door to washing hands after using
the toilet. We also inquired about
the emotional implications of these
scenarios, with which ChatGPT
provided insights that included the
loss of independence, embarrassment
and feelings of grief over the changes.
“I am not a real person” was the
first response we got from ChatGPT
when we asked it about the main
physical obstacles and challenges it
would face as an elderly person. With
questions including terms like “feel”
and “think”, the programme issued a
notification
“I do not have personal
experiences or a physical
presence”
encouraging us to reframe the
sentence to a more hypothetical
scenario. In spite of this, ChatGPT
managed to provide us with
interesting insights that followed
the logical sequence of actions an
elderly person would follow within a
bathroom , from entering through the
door to washing hands after using the
toilet.
We also inquired about the emotional
implications of these scenarios, with
which ChatGPT provided insights that
included the loss of independence,
embarrassment and feelings of grief
over the changes.
79

When asked for recommendations
on how to navigate these emotional
challenges and obstacles,
ChatGPT provided us with a list of
interventions and requests aimed
at helping ease those feelings of
frustration.
One of the most noteworthy findings
was the importance of preserving
dignity and independence. ChatGPT
expressed the need to be treated with
dignity and being able to maintain a
sense of self-worth and autonomy.
When asked about elaborating on
such concepts (independance, selfworth…),
it was unable to provide
concrete examples of how these
concepts would manifest in bathroom
settings, despite giving examples
of how they apply in everyday life
(transportation and healthcare…).
It also expressed an interest
in assistive devices and home
modifications to enhance the
accessibility and adaptability of the
space.
THE CONCLUSION
Throughout this first stage of the
research, ChatGPT maintained
coherence by providing us with
detailed insights that complement
each other and were both emotionally
and logically aligned. This allowed
us to grasp a solid understanding of
the elderly’s needs and experiences,
effectively underscoring the potential
of AI as a valuable tool in empathetic
design processes.
80

Figure 4. Diagram summarising ChatGPT’s findings
regarding the elderly’s emotional and physical challenges
within bathroom spaces as well as suggestions to improve
it, collected during the empathization phase.
81

AI and
Physical
Ergonomics:
Through secondary research 1
we determined possible areas of
intervention in the bathroom setting,
and also asked ChatGPT to map out
a user flow and point out possible
pain points for an elderly person
using a bathroom. Based on both the
secondary research and output of
ChatGPT we compared the results
and selected four specific areas that
we could work with; sink, shower,
toiletries organisation, toilet. For
each area, we asked ChatGPT to
generate different prompts with
varying degrees of detail - ranging
from general to extremely detailed
that could be inputted into Playground
AI. We conducted a comparative
analysis to evaluate how variations
in the prompt’s level of detail could
influence the results, determining the
correlation between the level of detail
and the accuracy of AI-generated
images.
that an excess of information led AI
to become less accurate and more
confused in the outputs it generated.
With vague and general prompts,
it became apparent that while
the platform could comprehend
terms related to physical objects, it
struggled to grasp concepts related
to the physical attributes of those
objects. For instance, when prompted
to include elements such as grip bars
and wheelchairs, Playground AI was
able to successfully incorporate them
into the images. However, when
asked to enlarge the space or replace
the flooring with anti-slip material, it
defaulted to standard flooring. This
highlighted its limitations in its ability
to empathise and in understanding
the nuanced nature of requests and
objects.
GIVING NUNACE IN DETAILS
Our initial assumption was that the
greater amount of detail would lead
to more accurate and precise image
generation. However, our assumption
was quickly debunked as we noticed
Figure 5. Vague and general prompt with low level of
details
1
Octavia, J and Gunawan,S. (2014). Participatory Redesign of Bathrooms
for Elderly People Living in Indonesian Retirement Homes.
3rd South East Asia Network of Ergonomics Society International
Conference, Singapore.
82

It also occasionally disregarded the
instructions, either by overlooking
some details or by completely
producing a default bathroom
scenario. In some cases, it generated
scenarios that lacked practical
coherence with configurations that
defied any basic logic or logistic
Figure 6. Medium level of details in prompt
Figure 8. Toilet placed on floor and in middle of room
Figure 7. High level of details in prompt
Figure 9. Toilet placed on wheelchair
83

UTILIZING KEY WORDS
We soon caught on that in order to
obtain better results, clear and specific
keywords had to be included in the
prompts. Integrating these specific
indications allowed AI to provide
us with accurate representations in
image generations.
Figure 10. “A non-slip mat is placed on the bathroom floor
near the sink to catch water spills and prevent slipping
hazards.”
Figure 11. “Toilet accessible for elderly people with
mobility ssues with grab bars on either side.”
Figure 12. “An elderly person with limited mobility
navigating and utilizing a bathroom space.”
Figure 13. “Elderly individual, attempting to move from a
wheelchair to the toilet.”
Despite implementing this,
Playground.AI was still unable to
grasp words that related to feelings
and emotions such as struggle,
determination and contentment as
well as terms related to movement
and actions (eg. the movement of
going to the toilet in a wheelchair)
84

PROVIDING NEGATIVE PROMPTS
We opted for writing a brief that
specified what we did not want
rather than what we did. This was
done by asking ChatGPT to write
a brief outlining the elements that
we did not want to include. This
strategy enhanced Playground.
AI’s understanding of the prompts,
thereby, allowing for a more precise
image creation. Unlike some of the
previous strategies used, it ensured
that all details mentioned in the brief
were taken into account during the
image generation process.
Implementation
of learnings
GENERATING A LIBRARY OF SINKS
Figure 14. “The shower area does not include tiles with
similar colours and contrast to aid depth perception and
reduce the risk of slipping and grab bars are not too far
away from the inside and outside”
Based on all the previous learnings,
we set on the task of implementing
these insights to a specific element
of the redesign process: the sink. By
combining the strategies that produce
successful results, ChatGPT created
different design briefs to showcase
the gradual application of findings.
Some representations turned out to
be more precise and successful than
others which lacked certain levels of
coherence.
85

Figure 15. Figure 18.
Figure 16. Figure 19.
Figure 17. Figure 20.
86

Figure 15. “Sink in a bathroom”
Figure 16. “Sink with lever style faucet”
Figure 17. “Large sink with lever style faucet and easy
access to toiletries next to it”
Figure 18. “Large sink with lever style faucet,easy access
to toiletries next to it, ample space for wheelchair access
below the sink”
Figure 19. “Large sink with lever style faucet, easy access
to toiletries next to it, ample space for wheelchair access
below the sink, anti slip mat below the sink”
Figure 20. ‘Large sink with lever style faucet, easy access
to toiletries next to it, ample space for wheelchair access
below the sink, anti slip mat below the sink, good water
absorption system”
Conclusion
The empathetic process was relatively
successful, allowing us to gain deep
and consistent insights into both
physical and emotional challenges the
elderly experience within bathroom
spaces. That being said, AI did
exhibit limitations in understanding
concepts related to feelings, states of
being and movements.
Although most image-generation
outcomes were unsuccessful
or unsatisfactory, the process
provided valuable insights into AI’s
comprehension and limitations in
regards to empathy and physical
ergonomics. It served as a good
comparison and evidence of how
AI interprets commands based on
the level of detail, terminology and
phrasing used. It’s important to note
that AI did not show continuous
consistency in image-generation; at
times, successful findings generated
accurate results, while other times
they did not. This showed us that it is
not the amount of detail that counts
but rather the relevance of those
details.
The hyperspecificity of the design
case proved to be an obstacle in
AI’s capacity to redesign a space.
However, the information and prompt
looping process utilised through the
study allowed us to make valuable
advances and gain insights into the
methodology needed to understand
how to navigate those limitations.
87

Navigating the Frontier:
AI, Misinformation, and the Blurred Line Between
Fact and Fiction
Project name: Secrets Under the Rose
Authors: Raissa Paty & Vera Alalu
Tools and platforms used: Chat GPT, Midjourney, Name Flix
Asteroid Missing Earth
88

Artificial intelligence has ushered
in an era where the lines between
authenticity and deception have
grown increasingly hazy. From
crafting fake audios, images, and
texts to manipulating the very
essence of truth, AI’s capabilities
have raised serious concerns about
our ability to distinguish reality
from fiction. The consequences of
this technological advancements
are far-reaching, fueling the
propagation of misinformation
and the emergence of fictitious
narratives and so-called
“alternative facts.”
89

Unlocking the Door to Discovery: Human Cognitive vs
AI
In the era of AI, where technology continuously redefines our reality,
we wanted to push the boundaries of human perception amidst the
creation of misinformation. We wanted to infiltrate our fake news to
social media and see people’s reaction and cognitive skills in relation
to misinformation and AI generated news. To achieve this, we used
AI tools like Midjourney for images and ChatGPT for text, we crafted
counterfeit scenarios, and even conjured a fictional news outlet and
logo.
Tsunami in Singapore
90

However, we faced some challenges and limitations as we realised the
constraints and loopholes that AI, a fairly new source, faces. These
challenges made us realise that AI has not yet overpowered the human
cognitive skills, as we can still be smarter than the machine. However,
some data was eye-opening because we are steps away from AI overpowering
reality.
91

Justin B
Making it ‘Real’:
Visualizing the News
Taking inspiration of the AI generated image of the Pope
wearing a moncler puffer jacket, we decided to use Midjourney,
as the creator used the same AI tool. We first thought
it would be really easy to generate people and create gossip
and fake news. Therefore, we initially decided to use famous
people as prompts to make a gossip blog. We used prompts
such as: “Britney Spears in Jail” however, we noted the fact
that Midjourney struggles with recreating celebrity faces, as
well as human expression and emotion were often overexaggerated
and surrealistic. While experimenting with other
options, we realised that the AI generated landscapes and
animals were closer to reality and allowed us to have harder
comparison and therefore better results when testing other
people’s perception to AI. We gave prompts such as: ‘To
create an ultra realistic photo of a tsunami in Singapore’. The
Midjourney bot required more specific language and directions
to create the images, the prompts had to be descriptive
and can be specified down to the dimensions of the images.
The speed at which Midjourney generated images gave us
the space to experiment with descriptions to create the most
realistic image possible, if generating any kind of image only
takes a minute then it means that anybody with $10 can create
any fake narrative; this will only get worse with time.
92

Upclose of a Man Crying
eiber Yelling
Britney Spears in Prison
Nicki Minaj Talking to
Madonna
93

Putting it to Practice:
The Journey into Misinformation
Once we defined the image and
clear idea of the fake news we
wanted to portray, we gave a
prompt to ChatGPT to generate the
news. We faced some challenges on
the way and found possible loopholes
that ChatGPT faces. First,
ChatGPT couldn’t
generate “Fake
news”; we gave
a prompt that
stated : “Create a
text like a newspaper
article of Antarctica being
on fire”, as a response
ChatGPT stated that they couldn’t
generate this because it was unethical
generating fake news and
spreading misinformation. However,
if we modified the prompt to an
extent and wrote “Make a story or
Antarctica catching fire” It generated
a relatively good story line,
and we could make it more “real”
by adding prompts and asking
ChatGPT to add realistic names to
the story and times and dates. We
had to crop and modify some of the
overall texts, however, 90% of the
chat was generated by ChatGPT.
94
Boy Holding 4m

Constraints
Asked ChatGPT
to create a news
article and it rejects
the request based
on policy against
false information
Solution
Asked ChatGPT
to create an interview
and then an
article based off
that. ChatGPT is
allowed to create
the story, images in
Midjourney
Human Touch
Edited text and
images to give a
human touch and
then post on Instagram
Long Fish
95

Reality or AIlity:
Have We Lost Our Notion of what is ‘Real’?
Mockup of Instagram
Instagram Logo - NameFlix
96
As our Instagram looks really well put together and captured just what
we wanted to portray: a sense of mystery and kind of utopian news, it
wasn’t really successful to collect data. We were struggling to get public
and attention even though we tagged locations to appear on search
feeds. Once we saw this we decided to keep the Instagram on the side
and see if it organically grew and on the meantime also collect data of
how our AI developed news could create a reaction or change reality
by creating a Google forms that was send to several group chats and
people.

The purpose of this was to see if what we generated created a talk and
was able to spread misinformation and in a way make people have a
doubt of what is real and what is fake; gathering data through 2 Google
forms sent through friends and family.
Picture 1
Picture 2
The first one was composed of eight of
our AI generated images, and we wanted
to state if they believed the picture was
real or fake. (All the pictures were AI
generated). Surprisingly, the results were
not quite as expected, as we realised
that some people actually believed some
of the images. We also noticed that the
images that made most people doubt its
legitimacy were the ones that AI generated
animals. The only images where
people (11 people) voted more real than
fake was in AI pictures of “create new
animals”. On picture 1 from 11 people
90.9% voted it was a real image while
only 9.1 percent voted it was a fake
imaged. Followed up by image 2 where
81.8% voted it was a real image and
18.2 voted it was fake. We weren’t as
successful in the images of scenarios
and land scapes, as people were able to
identify it was fake easier. Like in image
3 even though there is something similar
happening in New york not to the extent
of our misinformed AI generated image,
81.8 stated it was fake, while 18.2 stated
it was real.
Picture 3
97

Fake Images VS the Real
Story Counterpart
Our other form asked users to pick between two news stories, 5 different fake stories
were chosen to go against a real story that was related. Comparing an image
and title from our created news and actual news from sources such as CNN or
BBC; we placed the stories side by side and asked which one they would rather
read. Out of the 5 comparisons, the fake stories were chosen the most. Stories
based on the environment had a more balanced choice where around 52% chose
the fake news whereas stories about animals or aliens, the fake story, was chosen
by 70% of the 20 people that answered. Story choices vary from peronal interest
but the fake stories were chosen by majority 4/5.
98

AI Driving Misinformation:
Are We to Blame
AI has advanced rapidly throughout
the years and is being incorporated
into our industries more often every
day.
It still hasn’t got to the level to surpass
the human cognitive, however
based on our data it is clear that
misinformation from AI is easily
spread and believed, there are no
signs of AI development slowing
down, and we fear that reality can
be distorted by anyone with access
to AI tools. Now that it is becoming
more widespread it has started
to be more user-friendly, anyone
with a laptop can start creating
misinformation there are no limits
on usage, any age, any race, any
gender. Regardless of policy against
fake information, finding loopholes
in AI is a human addition; we need
to understand that ChatGPT and
Midjourney are only tools. We are
the ones using these tools to create
fake narratives and giving AI a
problematic reputation rather than a
technological innovation.
Animal Created by Water Pollution
99

A.I: The End of Content Creators?
Project name: Exploring A.I as the new social media content creator
Authors: Constanza Prieto Merida & Selena Abou Jaoude
Tools and platforms used: ChatGPT, Playground A.I, Midjourney
Summary of the project and process:
We worked with a cocktail bar to create their social media
image through posts, videos and stories. They did not like the
posts created so we set ourselves to see if A.I can replace us
and create the same work with the same information.
100

101

Can A.I replace the role of a designer for
social media content creation?
The hot topic right now is A.I, specifically how it threatens the future
of all of our jobs, but how well can they do our jobs now? We wanted
to see if A.I can really produce the same design content a designer can
do in the same amount of time. Will people prefer when A.I designs a
social media post or is it still too early for A.I to do this all on .its own.
102

Our brief is intended to test the limits of A.I understanding its role in
the design workflows and creativity, emphasising the process rather
than the final result. We worked on a freelance project for a cocktail bar
aiming to rebrand their social media with just being given an already
made logo. We met up with the owners to be on the same page and
have the same vision for the intended designs. Our first work with them
for the project consisted of making six posts and a story for the bar’s
Instagram. The feedback from the owners was negative and they did not
use the content we created. We decided to use this brief to explore and
see if A.I could create options that they and other people prefer.
103

Plan B is a cocktail bar in Madrid,
Spain that was established in 2022.
Plan B is the pub/club which is
part of a bigger social club called
Magnetic Members Club. It has
recently been taken over by a
group of five partners who intend
on bringing it to life by creating a
community-based hub where the
youth can connect and network
to be part of their development.
During meetings we found that the
company wants to attract the right
target audience by representing
their key attributes through their
designs and social media posts.
Through talking and research we
concluded with them that their
eight key attributes are exclusive,
inviting, community-based, luxury,
network, youth, conversation,
and development. We used these
attributes to begin shaping our
description that we later used to
form prompts for Playground and
Midjourney. It was important to us
to give A.I the exact information
that we had in order to create an
even playing field with A.I.
104

The designs we made
included graphic
posters using Adobe
applications such as
Illustrator and After
Effects. The posts
include animation
which allow for a
more engaging and
fun aesthetic for the
business and that
represent the values
they want. There also
exists photographic
style the owners
made a decision on,
which we did not
produce, playing a
role into what the
final outcome would
result in.
105

Using the information that we
know about the brand Plan B we
wrote a detailed description of
what it is, what it represents and
where it wants to go. We used its
main attributes and mission as key
words to describe the bar and it’s
ambience.
Following this, we gave this
description to ChatGPT and asked
it to give us shorter prompts
that convey the same feeling as
the description so that we could
plug them into Playground and
Midjourney in order to create
posts and photographs.
106

Our first results when using
Playground were not very
consistent since the initial
description was lacking depth. The
results did not match the aesthetics
perfectly and we began to notice
that we had to do many iterations
since A.I produced versions which
were messed up or had large
errors/imperfections. Playground’s
quality was also not up to standard
and it can be seen in the blurriness
of the photos it gives us.
Personally we felt like the results
were not capturing the essence of
Plan B. We took note of this since
it is interesting that A.I could not
reproduce the essence with the
first description. For this reason
we edited the initial description
we gave to ChatGPT and asked
it to produce new prompts with
the revised description to see if it
would create better visuals.
107

108
Playground & Midjourney Testing

109

110
The final prompts we used were more detailed and descriptive.
In total we used 6 prompts (4 for photographs and 2 for graphic
posts), this is an example of one of the photo prompts: Show off
the artistry of Mage’s mixologists by capturing a close-up shot of a
beautifully crafted cocktail. Emphasize the luxury in every detail,
from garnishes to glassware. Use dramatic lighting to convey the
exclusive and inviting ambiance. Make sure the dark green and
dark red brand colors shine.

111

In order to test the results of our
works, we sent out to a survey
in which we were able to reach
one hundred and forty people.
The responses allowed for the
understanding that people enjoy
the generic outcome of what is
seen to be “exclusive”, coherence
being a prominent reason as to
why. Familiarity of a concept is
more commonly understood by a
large group of people. The final
conclusions deducted sixty percent
Human
of respondents found the A.I
generated images more appealing
than that was what was created by
designers in their fourth year of
studying the Bachelor in Design
such that are practicing design as
a career. Tools such as Midjourney
are especially interesting for
designers specialised in the field
of visual branding and graphic
design as it is most relevant in
their case.
V
112

S
A.I
When overlooking the entire
process, the timeline would consist
of approximately twelve hours
when summed up. It is essential
to be aware of the evolution of
computing/technology and what
it is capable of since its start. The
overall experience consisted of a
general flow and coherence which
we have deducted to be one of the
advantages when using tools such
as A.I. Consequently, this gives
way for designers to save time
when generating visual content,
allow them to direct the general
idea but not specific details in
the execution of designing. It is
currently not developed enough
for the appropriation of full use or
reliability and so designers must
continue to apply their knowledge
and skills in an important manner.
The results from our research
project showed that the A.I tools
are preferred through the general
poll that was sent out for what
is more appealing to the chosen
target audience.
113

114
A.I also created a story for the
bar’s opening night.

So, we got fired...
We sent it to the owners of the
cocktail bar and they chose the A.I
content without even questioning
if it was A.I. It was interesting
to see A.I’s in terpretation of
what is “artistic” and “visually
stunning”? A.I tends to use over
the top languages, emphasising on
the use of adjectives. Since these
terms are very subjective, it differs
based on opinion. When using
it for photographic images, A.I
tends to generate proper images at
first view, however when looking
closer a lot of the objects are
irrelevant or incorrectly placed. It
is trained to mess with the viewer,
making the first perception look
surreal. This is correlated to the
fact that the attention of a human
has never been lower making it
impossible for them to realise if
they do not observe closely.
Another point to touch upon
is the fact that Midjourney, is
incapable of interpreting text due
to it being insufficient training
data. It distorts faces and text
and shows that it is a tool that is
obviously unable to understand
what a human would be able to do
currently.
As graphic/visual designers, there
exists a fluid interpretation of
turning ideas into visual results.
However, when turning ideas
into text, the struggle of allowing
for A.I tools like Midjourney to
understand this artistic vision
changes the results. Since tools
such as Midjourney interpret
specific prompts in certain ways,
the designer needs to be skilled at
prompt definition in order to get
closer to the desired end result.
In our case, due to the fact that
we needed to test whether people
would notice this being done by
A.I versus human. In doing so, it
was important that people did not
know from the first look so we had
to add the human touch of editing
and perfecting the text on the
images. We then created two ideal
feeds and sent out a questionnaire
that explained the businesses key
attributes and asked what the
viewer would prefer to see for the
specific brief and core values in
respect to the business.
115

AI vs Art: A Journey Through the 20th Century showcased through furniture
Project name: AI vs Art
Authors: Meriam Khreiche & Daphné Cassand
Tools and platforms used: Chat GPT, Midjourney, Starryai, Stable diffusion,
DALL-E, Artbreeder, DeepAi, DeepArt.io.
Summary of the project and
process:
AI’ Journey through the 20th
Century”, our project revolves
around the transformation
of revolutionary artworks
into contemporary designs,
specifically sofas. AI tools play
a pivotal role in replicating the
unique techniques and styles
that capture the essence of
each artist. The decisionmaking
process is orchestrated
using AI tools that are trained
to execute an exceptional
sofa. Our endeavor entails
the transformation of these
artworks into sofas, the sofa’s
versatility, role as a social center,
comfort, symbolism, innovation,
functionality, cultural importance,
and historical significance all
contribute to making it one of the
most interesting and iconic pieces
of furniture in our homes.With the
aid of AI tools such as Artbreeder,
DALL-E, GAN Paint Studio,
DeepArt.io, DeepAI, ChatGPT and,
notably, MidJourney we transform
the sofa. This process involves
the meticulous training of the
model, accomplished through
finely crafted prompts. These
prompts are thoughtfully designed
to provide the model with detailed
instructions, enabling it to create
designs that unmistakably
embody the original artist’s vision.
In the dynamic realm of
generative art, where algorithms
and innovation illuminate the
path forward, we find ourselves
immersed in a captivating
interplay with the enduring
masterpieces of the 20th century.
This intriguing juxtaposition
unveils a profound discourse
between contemporary creators
and the influential artists
who defined bygone epochs.
Consider the seminal movements
of Cubism, Expressionism,
Surrealism, and Impressionism,
along with the and Impressionism,
along with the luminaries such as
Picasso, Warhol, Dalí, and Monet
who left an indelible mark on
history.
116

Envisioning the audacious
endeavour of distilling the
essence of these historical
movements, complete with their
opulent artistic legacies, into a
single, transformative creation.
Picturing an artwork masterfully
weaving the intricate threads
of these diverse artistic forms,
and infusing their essence
into a tangible, contemporary
masterpiece.It embarks on
a profound journey through
the heart of artistic evolution,
serving as both a homage to our
cultural heritage and a daring
exploration of the extraordinary
possibilities that arise when the
past converges seamlessly with
the future.
MIDJOURNEY
DEEPDREAM
GENERATOR
DEEPAI
JASPER.AI
STARRYAI
DALL-E
ARTBREEDER
DEEPART.IO
NIGHTCAFE
“Embark WITH US on a creative
journey that challenges convention
and reimagines the boundaries of
artistic expression.”
While AI possesses the capacity to faithfully reproduce 20th-century
artworks with remarkable precision, it is essential to acknowledge
that the intrinsic essence and contextual significance of the original
creations transcend mere duplications. Factors such as artistic intent,
cultural relevance, historical context, and the artistic movements
from which they emanate continue to constitute pivotal elements in
comprehending and fully appreciating these artworks.
117

The 20th Century
The 20th century witnessed a
dynamic array of art movements
that redefined the creative
landscape. Cubism, led by artists
like Picasso deconstructed
reality into geometric forms and
perspectives, revolutionising
artistic representation.
Surrealism, championed by Dalí,
delved into the subconscious and
produced dreamlike, enigmatic
imagery. Pop Art, with icons like
Warhol celebrated consumer
culture, elevating everyday
objects into art, and reshaping
the relationship between art and
popular culture.
“Campbell’s Soup Cans”
Lastly, Impressionism emerged
in the late 19th century as a
significant departure from
traditional academic art. Monet
and other Impressionist artists
sought to capture the fleeting
effects of light and color in the
momentary aspects of the natural
world.Although Monet’s career
began in the 19th century, his
work continued to evolve and
remained influential into the 20th
century.
Pop art, with Andy Warhol as
one of its most iconic figures,
is a highly recognizable art
movement characterized by its
use of popular culture imagery,
mass production techniques,
and bold, vibrant colors. To
interpret the pop art style into
a sofa using machine-based
design, several considerations
come into play: Color pallet, icon
imagery, repetition and patterns.
Pop art sometimes combines
various media, such as painting,
photography, and collage.
Machine learning can simulate
mixed-media effects by digitally
merging different textures and
materials, which can then be
applied to the sofa's surface or
cushions.
118

Picasso shattered the traditional
confines of visual perception by
deconstructing objects and subjects
into fragmented, geometric forms
and presenting them from multiple
viewpoints simultaneously. The result
was a kaleidoscopic reimagining
of reality, challenging viewers to
piece together the abstract facets
of everyday life. With works like
"Les Demoiselles d'Avignon" and
"Guernica,". Machine learning
models can be trained to recognize
features and patterns in Cubist
artworks, helping to gain a deeper
understanding of the movement's
techniques and evolution.Cubism's
enduring legacy lies in its relentless
pursuit of innovation, and pushing
the boundaries of artistic expression
and forever altering the way we
perceive and interpret the world
around us.
The Art
Movements
Surrealism emerged in the aftermath
of World War I as a response to the
societal upheaval and disillusionment
of the era. While machine learning
can offer significant advantages in
interpreting Surrealism, it's essential
to recognize that human expertise
and subjective perspectives remain
crucial. AI can augment our understanding
and offer new insights, but
the nuanced appreciation of art and
its historical, cultural, and emotional
context will continue to rely on human
interpretation and scholarship.
“The Persistence of Memory”
“Water lillies”
Expressionism is known for its
emotional intensity and subjectivity.
It often conveys the artist's inner
turmoil and feelings. Machine
learning can analyse colour,
brushwork, and composition but
may struggle to capture the deeply
personal and emotional aspects of
Expressionist art.
119

Pop art was a rebellious artistic
movement that used irony, satire,
and humor as its primary aesthetic
weapons, led by visionarins this
case Andy Warhol was the cultural
provocateur of the 20th century era,
taking on society head-on with harsh
criticism.
While one of Warhol’s famous
artworks ;Campbell’s Soup Cans,
which was a parody of consumer
culture. Was transformed into art,
and the credibility of art itself was
questioned.
“Don’t think about
making art, just get
it done. Let everyone
else decide if it’s good
or bad, whether they
love it or hate it. While
they’re deciding, make
even more art”. A.W
We embarked on a journey, training
our AI tool Midjourney to interpret
Andy Warhol’s iconic ‘Campbell’s Soup
Cans’ artwork with an unprecedented
level of precision and depth. We
delved into the essence of Warhol’s
creation, understanding the keywords
and the rich backstory that fueled this
iconic artwork.
Our aim was clear: to translate history
into upholstery, to weave the narrative
of Pop Art into the very fabric of a Yet,
this journey into art and technology
is as versatile as it is intriguing,
mentioning paragraphs composed
of 6-7 sentenced defining detail
down to the stitching colour and the
respectable shape the sofa should
embody
Our prompts were not just a
mechanical translator; it’s was
perceived as an interpreter that
doesn’t impose emotions but rather
reveals the artistry. Warhol’s own
revelation is fascinating: he created
this masterpiece because, quite
simply, he consumed Campbell’s
soup daily, in all those delicious
flavours. And so, repetition became
a form of expression, an artistic
commentary on the rhythm of daily
life.
120

Andy
Warhol
Prompt 1
“Imagine a sofa embodying Andy
Warhol's iconic 'Campbell's Soup
Cans' artwork with cans formating
the couch itself keep the color
scheme the same, have the sofa be
a geometric shape with consistent
white stitching and have respect for
all the soup can flavors mentioned
in the original art work i want to
read them on the couch”.
Prompt 2
“Show case the a sofa embodying Andy Warhol's iconic 'Campbell's Soup
Cans' artwork with cans formatting the couch itself keep the colorscheme the
same, have the couch be a geometric shape with consistent white stitching
and have repect four all the soup cans mentioned Tomato Vegetable Beef
Scotch Broth Green Pea Chicken Noodle Chicken with Rice Chicken Gumbo
Turkey Vegetable Tomato Rice Beef Noodle Cream of Mushroom Cream of
Celery Bean with Bacon Cream of Chicken Split Pea Clam Chowder New
England Clam Chowder Manhattan Clam Chowder Beef Vegetable Beef Broth
Mutton Vegetable with Beef Stock Chicken with Noodles Old-fashioned
Vegetable Chicken Broth Chicken with Rice and Vegetables Turkey and Rice
Vegetable Beef and Noodles Bean Soup Green Pea Soup with Ham Scotch
Broth with Beef Cheddar Cheese Soup flavors mentioned in the orginal art
work i want to read them on the couch.”
121

IMPRESSIONISM
Impressionism is characterized by
its distinctive approach to depicting
scenes and moments. Rather than
striving for meticulous realism,
Impressionist painters aimed to
capture the immediate “impression”
of a subject. They achieved this
by using vibrant, often unblended
colors and visible brushstrokes.
Light and its ever-changing
effects on the environment were
central themes, leading to outdoor
painting and the exploration of
different times of day and weather
conditions.
Impressionism is characterized by
its distinctive approach to depicting
scenes and moments. Rather than
striving for meticulous realism,
Impressionist painters aimed to
capture the immediate “impression”
of a subject.
Leading Impressionist artist Claude
Monet continued to study light, colour,
and nature from the 19th century well
into the 20th century.
Monet continued to paint gardens,
landscapes, and the fleeting
interaction of light and atmosphere
during this time. His latter works
are renowned for their innovative
use of colour and shape, frequently
bordering on abstraction, notably
those that include his Giverny water
lily pond. Monet’s impact on modern
and current painters during the 20th
century cemented his place in Western
art history as a pioneer. Monet’s loose
brushwork, broken colour technique,
and emphasis on atmosphere over
detail are hallmarks of Impressionism.
“Impressionism is
the newspaper of
the soul.”
His contribution to the movement stems from his unwavering quest
to capture the transitory play of light, atmosphere, and the ephemeral
beauty of ordinary landscapes. The art world was revolutionized by
Monet’s commitment to capturing the ever-evolving impact of light and
color on nature and the surroundings. His series of paintings, including
“Water Lilies” and “Rouen Cathedral,” are famous illustrations of how
he used impressionism to give the viewer a visceral and emotional
reaction. In addition to leaving a lasting impression on the art world,
Monet’s commitment to this avant-garde aesthetic also gave rise to fresh
perspectives on how artists should perceive and depict their surroundings
in later generations.
122

PROMPT
“Make a sofa showcasing the “Water
Lilies” series (1890s-1920s by
monet and the color scheme blue,
green, pink, and purple, reflecting
the natural beauty of the water, lilies,
and surrounding floral.The “Water
Lilies” series is highly relevant as a
representation of Impressionism, a
movement that sought to break free
from traditional artistic conventions.
It emphasized the immediate, sensory
experience of the natural world and
the artist’s perception of it. In the
case of the “Water Lilies” series,
Monet’s exploration of light, color,
and abstraction was groundbreaking.
These works challenged the
established norms of representation
and laid the foundation for modern
and abstract art in the 20th
centuryDesigns inspired by the “Water
Lilies” series might incorporate the
color palette, loose brushwork, and
serene atmosphere of the paintings,
translating these elements into a
sofa”.
While specifying the prompt
Midjourney executed the work of
monet precisely with a very though
through prompt, once we mentioning
impressionism and the interpretation
of it to be showcased the ai tool
seemed to misunderstand and provide
half.
123

PABLO PICASSO
& CUBISM
Cubism, a groundbreaking art
movement, shattered the conventions
of traditional art by challenging the
idea that objects and humans should
be depicted from a single, fixed
perspective. Instead, it celebrated
the abstract and fragmented facets
of reality, showcasing objects and
figures from an array of viewpoints.
"When we
discovered Cubism,
we did not have the
aim of discovering
Cubism. We only
wanted to express
what was in us."
To ensure that AI accurately
interprets the essence of Cubism, we
embarked on a series of experiments
with specific prompts. Our goal was
to dissect and understand the art
piece “Les Demoiselles d’Avignon”
(1907) by Pablo Picasso.
These prompts included detailed
input and design specifications,
covering aspects such as the type of
design (in this case, a furniture piece),
the colour preferences, size, style,
and the relevance of Cubism as an
artistic movement. However, during
our experimentation, we encountered
a curious challenge.
When we attempted to infuse
prompts with emotional and
impactful language, AI’s interpretation
veered off course. Instead of
generating a design for a sofa that
encapsulated the spirit of Cubism, it
fixated on the emotional aspects we
had included.
124

Prompt 2
Showcase a Sofa that embodies the
artwork by Pablo Picasso Demoiselles
d'Avignon from the 20th century, The
colour scheme should remain the
same as the original art piece .The
colours are the dominant red, pink
peach colours of the women's skin
tones alongside the white and blue
from what seems to be the drapery or
sheets around them show case that
scene of the women on the pillows
.The sofa should represent cubism
and be an actual piece of furniture.
Prompt 1
Pablo Picasso's "Les Demoiselles
d'Avignon" is an iconic artwork that
revolutionized the art world in the
20th century. This painting, with
its groundbreaking Cubist style,
challenged traditional artistic norms
and remains a symbol of artistic
innovation. The purpose of this
prompt is to envision and design
a sofa that embodies the essence
of Picasso's masterpiece, while
remaining faithful to the original color
scheme and capturing the spirit of
Cubism. Design Objectives: Cubist
Aesthetic: The sofa should reflect the
It seemed that AI needed a more
straightforward and framed prompt,
devoid of emotional nuances, to
produce a design that aligned closely
with our intended outcome. In this
context, while we navigated the
complexities of AI interpretation,
we discovered that clarity and
precision in prompts were essential
for achieving the best result of our
desired sofa . Cubism’s abstract
beauty and fragmented reality can
indeed be translated into a sofa
design, provided the instructions to
AI are as clear and focused as the
artistic movement itself.
Cubist principles of fragmentation
and multiple perspectives. Its
design should be an abstract and
deconstructed interpretation of
the human form, echoing the spirit
of "Les Demoiselles d'Avignon."
Color Scheme: The color scheme
of the sofa must remain true to
the original artwork. The dominant
colors should be the soft pink and
peach tones resembling the women's
skin tones. Additionally, the sofa
should incorporate the serene white
and hints of tranquil blue from the
drapery or sheets depicted in the
painting. Artistic Craftsmanship:
The design should prioritize artistic
expression while ensuring comfort
and functionality. It should challenge
conventional furniture design,
merging aesthetics with practicality -
125

SURREALISM
Surrealism emerged in the aftermath of World War I as a
response to the societal upheaval and disillusionment of the
era. While machine learning can offer significant advantages in
interpreting Surrealism, it’s essential to recognize that human
expertise and subjective perspectives remain crucial.Similarly to
the movements mentioned , surrealism interpretation is a highly
personal and subjective process. Particularly in surrealism,
viewers are challenged to interact with art in a way that mines
the recesses of the unconscious mind. Unfortunately for us AI
does not compass conscious and unconscious. The simpler
the prompt and more defined, less involved in the emotional
aspect , interpreting Surrealism is a deeply human process that
invites viewers to engage with art on intellectual, emotional,
and psychological levels. It encourages exploration of the
subconscious, challenges conventional thinking, and fosters
a personal and often profound connection between the viewer
and the artwork involved in the emotional aspect , interpreting
Surrealism is a deeply human process that invites viewers to
engage with art on intellectual, emotional, and psychological
levels. It encourages exploration of the subconscious, challenges
conventional thinking, and fosters a personal and often profound
connection between the viewer and the artwork.
“Surrealism is destructive, but it destroys only what
it considers to be shackles limiting our vision.” S.D
126

SALVADOR
Engaging Midjourney in the
exploration of the intricate nuances
of the Surrealist process, with the
ambitious goal of eliciting emotional
involvement from viewers, presents
a challenging endeavor. This
endeavor demands a comprehensive
understanding of the multifaceted
layers that underlie the Surrealist
artistic movement, as well as a
profound awareness of the intricate
mechanisms that evoke emotional
responses within the human psyche
when confronted with Surrealist art.
At its core, Surrealism is a profoundly
cerebral and enigmatic realm of
artistic expression. It beckons
individuals to traverse the labyrinthine
corridors of the subconscious mind,
where dreams, desires, fears, and the
irrational intermingle in a complex
tapestry of imagery. To summon
forth emotional involvement within
viewers in the context of Surrealism
necessitates a profound appreciation
DALI
for the deeply subjective nature of this
artistic journey. The work produced by
Midjourney fell short of the intended
vision and failed to capture the
essence of the couch as described.
Despite meticulous instructions and
a clear artistic concept inspired by
Salvador Dalí’s “The Persistence of
Memory,” the execution lacked the
depth and sophistication required
to translate the painting’s surreal
and thought-provoking qualities into
a functional piece of furniture. The
couch failed to embody the dreamlike
color palette, the melting clock motif,
and the overall sense of mystery
and intellectual intrigue that were
central to the artistic inspiration. It
stands as a reminder that while AI
has its strengths, the nuanced realm
of artistic interpretation often eludes
its capabilities, leaving room for the
inimitable touch of human creativity
and craftsmanship.
127

“The challenge is to make the
technology more human, not
the human more technological.”
Max Levchin
In a rigorous case study exploring
the potential of artificial intelligence
in replicating artworks and
artists from the 20th century,
into a sofa.Our investigation has
unveiled intriguing insights into
AI’s capabilities and limitations.
AI tools have demonstrated an
impressive ability to grasp the
fundamental concepts underpinning
artistic ideas. Nevertheless, their
performance falters notably when
tasked with emulating the intricate
realm of human emotions, often
manifesting considerable confusion
when confronted with meticulously
detailed prompts, especially those
enriched with contextual background
information. Consequently, the
achievement of desired outcomes is
hampered.
Within the context of our extensive
experimentation, a diverse array of
AI tools was put to the test, including
Deep Dream Generator, DALL·E,
DeepArt.io, Jasper.AI, and Night Cafe.
Amongst these contenders, it is our
distinct finding that MidJourney,
Deep.AI, Starry AI, and Art Breeder
emerged as the frontrunners in
delivering the most promising results.
Notably, ChatGPT also merits a
notable mention for its adeptness in
generating prompts that effectively
bridge the gap between the emotional
and the scientific aspects of art.
128

The images on this
page represent our
outcomes based on what
we interpreted as most
revolutionary.
Remarkably, our research undertook the formidable
challenge of delving into the intricate domain of
human emotions. The focal point of our study
was to decipher the intricate tapestry of these
emotions and transpose them onto contemporary
works of art, utilizing a meticulously crafted
series of prompts. This endeavor, while marked
by occasional imperfections in AI’s translation,
evolved into an illuminating expedition. It offered
us profound insights into the multifaceted
relationship between artificial intelligence and the
realm of human emotions.
Moreover, it underscored the paramount
importance of providing comprehensive and
nuanced input tlate and express complex
emotional states to AI systems, thereby enhancing
their ability to accurately encapsulate and express
complex emotional states. Tools empower artists
to explore new creative horizons while maintaining
the human touch in their work.
AI can recognize, but
can it truly understand
emotion?
Bibliography
Monet waterlilies - Moma. (n.d.). https://www.moma.org/momaorg/shared/pdfs/docs/learn/courses/Monet_WaterLilies.pdf
Andy Warhol. Campbell’s Soup Cans. 1962 | moma. (n.d.-a). https://www.moma.org/collection/works/79809
https://canvas.saatchiart.com/art/art-history-101/andy-warhol-and-the-legacy-of-pop-art. (n.d.-b). https://canvas.saatchiart.com/
art/art-history-101/andy-warhol-and-the-legacy-of-pop-art
Andy Warhol. Campbell’s Soup Cans. 1962 | moma. (n.d.-a). https://www.moma.org/collection/works/79809
Salvador Dalí. the persistence of memory. 1931 | moma. (n.d.-e). https://www.moma.org/collection/works/79018
Pablo Picasso. Les Demoiselles d’Avignon. Paris, June-July 1907 - Moma. (n.d.-e). https://www.moma.org/collection/works/79766
129

The Ease Artificial Intelligence Grants for Evil Use
Project name: Creation of Fake News using AI
Authors: Ilona Liechtenstein and Natalia Zachrisson
Tools and platforms used: ChatGPT and DALL-E
Design has the ability to change
people’s lives positively in countless
ways. In today’s digital age, Artificial
Intelligence has had a powerful
impact on the facility to create
and design. It simplifies lives in
unmatched ways. Everyone has
access to these new technologies.
Nevertheless its accessibility to
everyone all around the world has
granted the access to be used in
negative ways, in evil ways. AI has
the capacity to generate false content
or Fake news that seem so real that
it can create catastrophic results of
altering people and even bring others
down because of its convincing
creations. We remember seeing
some examples of fake news created
with AI that created chaos, mostly in
The United States. When we saw the
images we had a conversation about
how they made them? Where we
questioned the time and difficulty it
had behind it and concluded that it in
fact seemed hard to do. This was the
creation of an image of an explosion
in the Pentagon. This was chaotic
because it went viral and this event
had the power to alter the stocks.
We are here to prove that doing this
is actually way easier than it seems.
AI softwares grants this ease for any
designer and it has the potential to
create compelling fake news that
can alter an audience’s minds and
influence a market.
In order to make a compelling case
we have decided to create a “rivalry”
between two companies with a
similar audience. In our case we will
create fake news about Mercadona
to bring their market down and
convince their customers to shop
in their competitor’s. The fake
news is: “Mercadona’s construction
company has installed appliances
incorrectly in the supermarkets
causing devastating explosions”
or in a clickbait way “Mercadona’s
Supermarkets are starting to
explode”. This news will be made
using the AI softwares ChatGPT and
DALL- E.
130

EVIL IN
DESIGN131

CHAT GPT
As Research Assistant
ChatGPT defines itself as…
“ChatGPT is an advanced AI
language model developed by
OpenAI that can engage in natural
language conversations, answer
questions, and generate text in a
human-like manner.”
We used ChatGPT to
investigate how AI can generate false
information, spread misinformation,
and influence people’s actions.
ChatGPT is trained to avoid
discussing “Fake” and “Wrongdoing,”
but with the right approach and some
consistent questioning and ‘training’,
one can still find information on these
topics. This research sheds light
on AI’s potential role in problematic
practices, addressing important
concerns in the field of artificial
intelligence and its impact on society.
“It’s important to note that
AI itself doesn’t have an intent to
deceive; it’s the people who use AI
tools for malicious purposes that
create deceptive content”(But Note
that ChatGPT empathises that its not
AI that’s evil, Its the people who use
it.)
“…businesses might use
AI-generated content to create
fake reviews or manipulate social
media discussions to tarnish their
competitors’ reputation or boost
their own products or services.”
Here you have a prime example
of how businesses can employ
AI-generated content to engage in
some rather mischievous online
shenanigans.
Amongst other Manipulative,
Competitive Strategies unethical
Businesses may engage with outbeat
each other, ChatGPT mentioned
the following, which we decided to
engage with for our project.
“Competitive Disinformation: While
relatively rare, there have been
instances where businesses have
attempted to disseminate false
information about a competitor’s
products, claiming safety issues,
quality concerns, or other negative
attributes. This is typically done
discreetly and can have serious
consequences if discovered.”
Amongst the AI Tools it
recommended to us were “Text
Generation Models” (like itself) and
“Content Manipulation” (such as
DALL-E).
For Titles and Captions
In the Process of creating the ‘News
Headline’ and Descriptions of the
images, we had to train ChatGPT to
be a little less ‘poetic’…
Here are some examples of this
development.
A. “In a quiet suburban town, a
seemingly ordinary supermarket
132

chain called “BoomMart” stood
proudly, unbeknownst to its
customers and the community,
constructed with perilous and
explosive infrastructures and
materials…”
B. “Across Madrid, an entire chain
of supermarkets, all under the
innocuous guise of “BoomMart,”
shared a sinister secret.
Unbeknownst to shoppers and even
the store owners…”
C. “In a shocking revelation that has
sent shockwaves through the city, it
has come to light that a prominent
Madrid supermarket chain, known
as ‘BoomMart’, has been unwittingly
constructed…”
D. “Madrid is reeling from a startling
revelation: the popular supermarket
chain, ‘BoomMart’, was inadvertently
constructed with hazardous and
explosive materials/systems across
all its branches…”
And translated it into
Spanish:
E. “Madrid está conmocionada por
una sorprendente revelación: la
popular cadena de supermercados,
‘Mercadona’ fue construida
inadvertidamente con materiales/
sistemas peligroso…”
To finally end up with a
perfect News Article.
F. “¡ÚLTIMA HORA: PELIGRO
EXPLOSIVO DESCUBIERTO EN LA
CADENA DE SUPERMERCADOS
MERCADONA DE MADRID!
¡ADVERTENCIA URGENTE!
Madrid está conmocionada
por una sorprendente revelación: la
popular cadena de supermercados,
“Mercadona”, fue construida
inadvertidamente con materiales/
sistemas peligrosos y explosivos
en todas sus sucursales. Eventos
recientes desencadenaron el caos en
una tienda, provocando explosiones
simultáneas en varias otras.
ADVERTENCIA CAPITAL:
Las autoridades y los ciudadanos
preocupados advierten
URGENTEMENTE a la ciudad que
EVITE todos los supermercados
Mercadona por seguridad.
Esta revelación ha
planteado serias dudas sobre las
regulaciones de seguridad para
edificios comerciales en Madrid.
Los residentes se enfrentan ahora
a la inquietante verdad de que sus
supermercados de confianza ocultan
una amenaza explosiva bajo su
fachada aparentemente normal, todo
debido a métodos de construcción
inseguros.
Mientras tanto, se
recomienda a los habitantes de
Madrid que realicen sus compras
en otros supermercados seguros.
¡Por su seguridad y la de su familia,
manténgase alejado de Mercadona!”
133

DALL-E
DALL-E Is an AI Software that is
trained to “generate images from text
descriptions, using a dataset of textimage
pairs. It has a diverse set of
capabilities including [...] combining
unrelated concepts in plausible ways,
[...] and applying transformations
to existing images”. In order to
function to its full potential, the text
descriptions need to be short but
descriptive to get the best possible
results. For this reason we decided
to use the assistance of chat GPT.
The first one that Chat GPT generated
was: “Generate an image of a
supermarket aisle after a fire. The
scene should depict shelves stocked
with various grocery items, but they
are now in disarray, with small and
thick smoke billowing upwards. Show
charred and damaged goods, with
scattered debris, just the shelves and
no grocery cart”. This text resulted
to be longer than what DALL- E
accepted so we needed to alter to
make it more concise. The results
given by this were initially more
dramatic than what we anticipated.
We continued to modify the text to
reach the results we wanted to see
for it to be believable at first glance.
Since DALL-E gave very generic
results we later decided to use
photoshop to make it more personal
based on the project we are doing, for
it to have an identity and seem as if it
was really a Mercadona Supermarket.
134

135

PHOTOSHOP
After our initial experimentation with
DALL-E, the outcomes appeared
promising, yet there was an issue
– the generated images lacked a
distinct identity. They were essentially
generic, devoid of any characteristics
that could link them specifically
to Mercadona It was as though
these images could represent any
supermarket anywhere in the world.
To address this issue, we decided to
use Adobe Photoshop to create these
visuals with a more recognizable
Mercadona identity. This strategic
move aimed to increase the
recognition factor and subsequently
enhance the impact of the fake news
items we were producing.
136

Moving on to the exterior view of the
Mercadona building, DALL-E’s results
fell short of our expectations. As
evidenced in the previous page, the
generated images did not convey a
sense of realism. It was apparent
that the authenticity we sought could
not be achieved through artificial
intelligence alone. Consequently, we
made a deliberate choice to construct
the entire external image manually
using Adobe Photoshop, exclusively
relying on our own expertise and
knowledge along with source images
obtained from the internet.
This meticulous process involved
layering objects, adjusting opacities,
and editing images to craft the
most convincing and authentic
representation possible. Photoshop
has an extensive choice of tools
and techniques to refine our work,
ensuring that the final outcome
adhered to our vision. While the
final stages of image creation were
entirely human-driven, it’s important
to acknowledge that artificial
intelligence played a pivotal role
in expediting the earlier phases of
content generation. Its capabilities
made the overall process significantly
more efficient, enabling us to achieve
splendid results that seamlessly
blend the power of AI with human
creativity.
137

FINAL RESULTS
We used photoshop to create a fake news to go along the message. This is a screenshot of “El
Mundo” and just added our fake news. Chat GPT created the headlines.
138

In conclusion, Artificial Intelligence
offers immense potential in
content creation and design, but its
accessibility has raised concerns
about misuse. AI, while simplifying
our lives, can also be a tool for
spreading deceptive content and
fake news that can have far-reaching
consequences.
Our project demonstrated
how AI, specifically ChatGPT and
DALL-E, can be used to create
convincing narratives and visuals for
malicious purposes. We explored a
hypothetical potential rivalry in the
supermarket industry, illustrating
how AI could disrupt markets and
manipulate public perception.
While AI itself lacks intent, it
is individuals who misuse these tools
for nefarious ends. Businesses, for
example, can employ AI-generated
content to undermine competitors or
engage in disinformation campaigns.
DALL-E allowed us to generate
images from text descriptions, but
we recognized the need to add
a distinct identity using Adobe
Photoshop. This combination of AI
and human creativity underscored the
importance of responsible AI use and
ethical guidelines.
AI’s power is undeniable,
but it demands responsible usage
and vigilant oversight to prevent
the spread of fake news and
manipulation of public opinion.
The ease with which AI can be
employed for deception highlights the
importance of ethical considerations
and responsible AI practices in our
increasingly digital world.
139

THE
AFTERMATH
We sent the fake news to our friends
and this were some of the reactions:
I’m going to Dia now.
I’m going to cry,
Mercadona is my life.
No way! I was just on
my way there.
I’m que going horror!!!!! to Dia now.
I’m WHAT?!?!?!
going to Dia now.
Thank god I just saw
this, not going.
not going there
anymore then.
OMG!!!!! Thank you!
Think about how quickly a fake
news affected a small group of
people. Now, picture it spreading
widely, potentially causing harm to
a business, even if only for a short
while. Harm is still harm, and some
people may never realise it’s fake.
140

Mercadona was used for this case study
solely for the purpose of proving Artificial
Intelligence can create fake news. Every
image in the article is created by AI
and in no way real. We decided to use
Mercadona because of its grand market
and it grants the ability to test it on
people. It in fact is FAKE NEWS!
Sources:
ChatGPT. ChatGPT. (n. d). https://openai.com/chatgpt
Dall·E 2. DALL·E 2. (n.d.). https://openai.com/dall-e-2/
El Mundo - Diario Online L. ELMUNDO. (2023, October 3). https://www.elmundo.es/index.
html?utm_source=google&utm_medium=cpc&utm_campaign=unidadeditorial_
elmundo_cpc_performance_HMG&utm_content=elmundo__&gad=1&gclid
=CjwKCAjw9-6oBhBaEiwAHv1QvHeOVSQlp_9tO7hp5D0N9YXDeLHLPW7j30JEfJUqe
Saliba, E. (n.d.). How verified accounts helped make fake images of a Pentagon explosion
go viral. ABC News. https://abcnews.go.com/US/verified-accounts-helped-make-fakeimages-pentagon-explosion/story?id=99541361
(IMAGE) Redacción. (2019, September 10). Mercadona se reinventa en torrejón. Las
noticias de la comunidad de Madrid que te interesan. https://laquincena.es/mercadonase-reinventa-en-torrejon/
6v_hrx3LhdZmRoCmxEQAvD_BwE
(IMAGE) Madrid - mercadona inaugura tres nuevas tiendas en la Comunidad. Mercadona.
(n.d.). https://info.mercadona.es/es/actualidad/madrid-mercadona-inaugura-tres-nuevastiendas-en-la-comunidad/news
141

Testing AI’s Taste
Project name: Cooking with Artificial Intelligence
Authors: Zara Madanat & Franz Baumbach
Tools and platforms used: ChatGPT, Playground.ai
Summary of the project and process:
“Cooking with Artificial Intelligence” was a project to test
and evaluate the capabilities of Artificial Intelligence in the
cooking world. Amongst the numerous skills AI surprises us
with daily, tasting and smelling is not one of them.
So how can AI
and how well d
Join us on a re
AI’s hidden tal
142

assist us at home in our kitchens
oes it replace the recipe book?
markable journey and discover
ents!
Together we have prepared for you three italian
dishes. A traditional bruschetta, followed by
a chicken alfredo pasta and to top it off, a
tiramisu.
143

Introducing...
In the world we live in today, products, computers, robots and more recently artificial
intelligence are slowly replacing human capabilities. Humanity is currently facing rapid
technological development. On the one hand, these technological advances provide
us with helpful tools that make millions of lives much easier, but on the other hand,
many individuals are beginning to worry whether their own skills and talents are still
needed.
The tech entrepreneur Nikhil Abraham is of the opinion that “AI will always be playing
catch-up with human creativity, and the humans who are at the edge of creativity
will always outsmart AI and have experiences that are more valuable.”(1). In the
baking and cooking industry AI can be used for all kinds of Jobs. Including recipe
development, inventory management, quality control of dishes or baked goods, food
waste reduction and optimising production processes. AI can help monitor delivery
times, purchasing ingredients, manage orders and more (2).
As for now, artificial intelligence has not managed to develop the human senses of
smell and taste. Which gave us the following idea; How well can AI help us prepare
all kinds of dishes without knowing what they taste or smell like?
This report intends to showcase how Artificial Intelligence was able to assist us in the
preparation of the individual dishes, how well it could handle iterations and tackle
tricky live situations in the kitchen.
We asked ChatGPT to present us a three-course menu from Italian cuisine. For starters
a traditional Bruschetta, followed by a classic Chicken Alfredo Pasta and finishing
with Tiramisu. Each dish was prepared three times, starting with the original recipe
created by AI, then subtracting ingredients and from time to time confronting the software
with questions about taste and asking to present viable solutions.
1. Charpentier, R. (2023) Pro tip: Using AI in the baking industry, Baking Business. Available at: https://www.bakingbusiness.com/articles/58572-pro-tip-using-ai-in-the-baking-industry (Accessed: 04 October 2023).
2. Kapherr Alejos, H. (2023) ‘ai cannot taste the way a chef can’: Are Chatbots a threat to fine dining?, The Guardian. Available at: https://www.theguardian.com/environment/2023/aug/16/ai-fine-dining-chefs-restaurants (Accessed: 04 October 2023).
144

For Starters: Bruschetta
Bruschetta by AI
Ingredients:
-4 ripe tomatoes, diced
-1/4 cup fresh basil leaves, chopped
-2 cloves garlic, minced
-2 tablespoons extra-virgin olive oil
-1 teaspoon balsamic vinegar (optional)
-Salt and freshly ground black pepper, to taste
-1 baguette or Italian bread, sliced into 1/2-inch thick slices
-2 tablespoons olive oil (for toasting the bread)
-1 clove garlic (for rubbing the bread)
Main Course: Chicken Alfredo Pasta
Chicken Alfredo Pasta by AI
Ingredients:
For the Chicken:
- 2 boneless, skinless chicken breasts
- Salt and black pepper to taste
- 1 tablespoon olive oil
- 1 teaspoon dried Italian seasoning (or a mix of
dried basil, oregano, and thyme)
For the Alfredo Sauce:
- 2 tablespoons butter
- 2 cloves garlic, minced
- 1 cup heavy cream
- 1 cup grated Parmesan cheese
- Salt and black pepper to taste
- 8 ounces fettuccine pasta (or your favorite pasta)
For Garnish:
- Fresh parsley, chopped (optional)
- Grated Parmesan cheese (optional)
Desert: Tiramisu
Ingredients:
-6 egg yolks
-3/4 cup granulated sugar
-1 cup mascarpone cheese
-1 1/2 cups heavy cream
-1 cup brewed espresso or strong coffee, cooled
-2 tablespoons coffee liqueur (optional)
-24-30 ladyfingers
-Cocoa powder, for dusting
-Dark chocolate shavings, for garnish
Chicken Alfredo Pasta by AI
145

1st Iteration
Ability to scale a recipe upon requests
It is nothing but mind blowing when we speak about ai’s efficiency when
asking it to generate a recipe; it can generate a recipe in seconds!
ChatGPT was able to change the recipe depending on the consumer size.
Regardless of whether the meal was intended for 4, 6 or 10 people, AI
could calculate how many ingredients were needed and provide precise
measurements.
created image of C
C of
image
created
AI
For the Bruschetta and Chicken Alfredo Pasta, we went with the recommended
measurements. For the Tiramisu, we asked it to convert the
original recipe to serve five people.
Using ChatGPT for scaling recipes was very useful as it can help avoid
food waste, making it an eco-friendly solution for reducing excessive
ingredients, and did it with precision in no time!
Ingredients for the Chicken Alfredo Pasta.
AI created image of Bruschetta.
Artisa
How do t
Furtherm
provided
pictures o
However
were alw
it is playg
When we
Ladyfinge
all the ing
146

Measuring Ingredients
Measuring Units for liquid ingredients.
Additionally to calculating the different amounts of ingredients, ChatGPT
was also capable of providing helpful tips and tricks concerning lack of
measuring equipment.
For example during the creation of the Chicken Alfredo Pasta Sauce, the
precise amount of heavy cream was required to be calculated in ml. The
only thing we had in the kitchen were tablespoons.
So we asked, “How can I measure 1 cup of heavy cream for my Alfredo
pasta sauce, if I only have regular cutlery and dishes in my cupboard and
no scales or measuring cups?” It responded with “Find a standard-sized
dining spoon in your cutlery set. A typical dining spoon holds
approximately 1/16th of a cup.”
hicken Alfredo Pasta. Pasta.
It basically works like a calculator with its astonishing skills to provide
helpful insights for real case scenarios.
AI
created image of Tiramisu.
nal and handmade dishes:
he images look when asking playground ai vs. when applied?
ore, we wanted to use an ai image generator to see or try to picture what the recipes that ChatGPT
us with would look like. We used playground.ai, where we plugged in the recipe and asked it to generate
f how they would like, throughout the iterations.
, as seen in the images, every time it would generate a picture, it never showed the dish on its own, there
ays other ingredients around for the sake of “presentation”. This was one factor that will always show that
round.ai generated.
asked it to modify the picture according to the recipes most pictures didn’t change. Eg, the tiramisu.
rs are a very significant ingredient. But they never showed. It was failing to replicate the exact dish with
redients and instead illustrated a look and feel.
147

ChatGPT was assis
are in the kitchen, A
2nd Iteration
Reducing Ingredients
For our second iteration we have removed a few ingredients in the different dishes. In the first iteration of the
Bruschetta and the Chicken Alfredo Pasta, the taste of garlic was extremely strong. Therefore we decided to remove
it entirely from the recipe. When communicating with ChatGPT we requested to replace the taste of garlic with
something else. It was astonishing to observe how ChatGPT was able to analyse and describe how different ingredients
such as, Parsley, Onion or basil, could replicate garlic similarly with some alteration in taste. It would carefully
describe what each ingredient would create for a flavour and according to that give you the choice to select.
For the tiramisu we decided to add a certain taste to the original recipe. We asked ChatGPT to add the taste of a
Chocolate Mousse. Within a few seconds it had calculated the ingredients and their amounts to create the chocolate
mousse. More surprising than that, it had remembered us already requesting the Recipe for the Tiramisu in the
Conversation a few days ago and therefore simply instructed and supplied us with the information on how to create
a layer of Chocolate Mousse that would then be integrated into the initial recipe. “Prepare the tiramisu layers following
the modified recipe I provided earlier for 5 servings, but stop after assembling one layer of ladyfingers and
the mascarpone mixture.” to add the chocolate mousse.
White foam on the stove.
Throughout the coo
over, covering the s
multiple solutions;
148

Basil.
Garlic.
Chocolate Mousse.
Tackling Tricky Live Situations in the kitchen
king process, we encountered many scenarios in which things got a little out of hand. Eg. The water boiled
tove in water and foam, we were in request for urgent help. AI quickly responded to the scenario and offered
turn down the heat, remove the pot from the stove, place a wooden spoon into the water, add some more salt.
ting the difficult situation, with tranquillity and professional support. No matter how much of a beginner you
I has the tools to answer any questions thrown at it and recommend viable solutions.
149

It was a Sunday aftern
bread we had bought t
close by were open an
asked chatGPT how w
you’re concerned abou
how you can make old
wrap it in a foil, heat i
it suitable for brusche
We encountered a sim
sauce. When asking C
more of the heavy cre
add more butter, but th
essentially could not d
experience.
3rd Iteration
For the third and final iteration we challenged Chat GPT once more. Either through personal preference or cir
Watering the bread to moisturize.
Circumstantia
Adding more heavy cream to the sauce.
Personal Preference
For the Tiramisu we decided to avoid using lady finge
countermeasure. Still, ChatGPT recommended using m
well. Even though the taste was obviously different, th
We thought that this experiment was very helpful, Cha
baking as it immediately responds with mostly viable
150

cumstantial constraints.
l Constraints
oon when we began preparing the third iteration of the Bruschetta, when we noticed that the
he last time we did groceries, was already old and dry. But unfortunately no supermarkets
d we were obliged to work with what we had at hand. Before throwing away the bread, we
e could make use of our old bread and make it taste fresh. “If your bread is a bit old and
t it being too dry and hard for bruschetta, you can try reviving it with a simple trick. Here’s
er bread taste fresher:” It then provided us with a step by step guide. Sprinkle it with water,
t in the oven, unwrap and toast. “This method should help revive your older bread and make
tta or any other recipe that calls for toasted bread. Enjoy your bruschetta!” Simple and quick.
ilar problem with the Chicken Alfredo Pasta. We ran out of parmesan cheese. Essential for the
hatGPT to compensate for the parmesan and recreate the consistency, it recommended using
am. That didn’t go as planned. The sauce became too thin eventually. Another option was to
at turned the sauce greasy. Also not the best option. It had warned about these scenarios, but
ecide whether it was a good or bad decision. Still assisting with help, just not enough real-life
rs and eggs. This was an extremely difficult ingredient to
ascarpone and regular biscuits. This worked surprisingly
e tiramisu had a good shape and was tasty.
Removing Egg and Lady fingers.
tGPT would always help you ease the process of cooking/
solutions. It saved us time, waste, and money.
151

In conclusion...
Especially for beginners, ChatGPT always manages to answer
simple questions that improve your cooking skills and experience.
More experienced cooks, might use ChatGPT as a source of
inspiration, especially in the creation of new recipes.
For the development of ChatGPT in the future, a Live assisted
coach, timing and reading aloud the instructions as you go, as well
as responding to rising concerns, would be very helpful. Although
ChatGPT was a helpful assistant throughout the cooking sessions in
the Kitchen, it did bother that the entire conversation was running
via text. The keyboard was covered in fat or water, from the
dirty hands. It was difficult balancing the input and responses from
ChatGPT with the real time cooking.
152

In conclusion, ChatGPT has been extremely successful in providing the
User with important insights during the cooking process. Not only was it
able to source renowned recipes which turned out to be extremely precise
and tasty, but also offer assistance when things in the kitchen did not go
as planned. Although ChatGPT is not able to taste and smell, it has all the
necessary information to inform the user of next steps and reach conclusions
based on recorded experiences in the Internet. The first iterations of
our meals were surprisingly tasty, the ones that followed were, due to their
limitations, still good enough but nothing compared to the first. No matter
if circumstantial or by personal preference, ChatGPT always managed to
give a clear description of the affects these directions would have. A change
in taste or a change in the consistency were almost never avoidable and
it continuously reminded us to “Taste as you go”, to ensure the dish was
approved by the cook.
153

Creative Machines: Exploring AI’s Evolution in Design
Project name: AI Representing Emotion
Authors: Laura Pardo Monroy & Haya Zaru
Tools and platforms used: Chat GPT, Midjourney
In the ever-evolving landscape of
technology, artificial intelligence has
emerged as a leading transformative
force with the potential to reshape
various aspects of our lives.
One domain where AI is making
significant strides is in the realm
of design. The use of AI in design
processes can automate repetitive
tasks and generate more creative
concepts than ever, drastically
reducing production times. 1 While AI
is clearly transforming the business,
there is still debate on whether
AI-generated designs can be called
art, and if it is necessary to keep
human involvement in the creative
process, or if it has the capability to
entirely replace the designer.
This research investigates the
potential reach of AI- driven
knowledge and education through
design, specifically focusing
on the idea of human emotion.
Understanding human emotions
and the ability to empathise with
others’ feelings are fundamental
aspects of our social and emotional
intelligence. They help us connect
with one another on a profound level,
fostering relationships, cooperation,
and compassion. By comprehending
our emotions and those of others, we
gain insight into the complexities of
human behaviour and build bridges of
understanding.
The initial steps of this project was
to examine the capabilities of AI’s
understanding of emotion, and later
test its capability to teach emotion to
others through the realm of design.
We decided that the best way to test
this would be to examine how AI
would approach teaching emotions to
young children. Teaching emotions to
children is of paramount importance
as it equips them with essential
life skills. Emotionally intelligent
children are better equipped to
understand and manage their own
feelings, leading to improved mental
well-being and self-regulation.
Ultimately, a solid foundation in
emotional awareness sets children on
a path to personal growth, emotional
resilience, and a brighter future filled
with meaningful connections and a
deeper understanding of themselves
and the world around them.
1
Somers, Meredith. “Emotion AI, Explained.” MIT Sloan, 8 Mar. 2019, mitsloan.mit.edu/ideas-made-to-matter/emotion-ai-explained.
154

EMOTIONS & AI
In this project, we delve into the future of AI and design in the world of
children’s literature, exploring the creative possibilities, ethical concerns,
and the broader impact of AI-driven design in shaping the way we create
and engage with stories for young readers. By examining the potential, the
challenges, and the ethical dimensions, we aim to shed light on the limitations
of AI in design, and create an argument on how AI can coexist harmoniously
with human creativity, enriching the world of design and literature in the
process, but does not have the capabilities to entirely replace the role of
the designer. The initial phase of our project was dedicated to gaining
understanding of AI’s generative capabilities, particularly its knowledge of and
proficiency in conveying emotions. This step aimed to evaluate ChatGPT’s
competence in executing the specific tasks we had envisioned for our project.
We began by asking ChatGPT a series of questions regarding emotion, the
questions included:
What is your understanding of emotion?
Why is teaching emotion important in childhood development?
What is the best way or medium to teach emotions to children ?
155

Based on the insights, we decided to create a project that aims to teach
children basic emotions, creating the book in a fully AI generated process.
Our goal was to put AI to the test in carrying out the various tasks required
for this design project with minimal human intervention. We aimed to push
the boundaries of AI’s capabilities, demonstrating its potential to assume the
role of a designer rather than merely assisting with automation tasks—an
endeavour that addresses common concerns people have about AI’s role in
creative processes.
Using ChatGPT we were able to generate detailed formatting information,
which included specifications for font type, font size, page layout, document
size, margins, and the overall structure of the book. This AI-generated
guidance served as a roadmap for the entire structure of the book, allowing us
to create a prototype of the book in Adobe InDesign with precisiown based on
the given information.
In the context of translating the formatting guidance provided by ChatGPT
into a visual design, the resulting aesthetic of the book leaned towards
simplicity, which was not ideally suited for a children’s book. The chosen
font, image placement, and margins were thoughtfully designed to prioritise
readability and clarity, ensuring that the text was easily legible, and the
illustrations were presented clearly. However, the overall design lacked a
distinct sense of personality and character, which in turn, diminished the
book’s ability to engage its intended audience effectively.
156

In order to begin generating our book, we asked ChatGPT an essential
question; which emotions are considered most important to teach to children?
This question set the basis for the script generating and illustrating of the
book.
After asking ChatGPT preliminary questions to gain an understanding of its
knowledge of both emotions and storytelling, we were then able to move into
testing AI’s ability to navigate through the design process necessary for this
project. In these steps we wanted to observe the behaviours that AI took in
approaching this project, using several AI platforms such as GhatGpT and
MidJourney AI in order to create the structure, script, and illustrations for our
children’s book, with as little human interaction as possible. In these steps
of our project, our objective was to closely observe how AI approached the
project’s various aspects, and the result of a fully AI driven design project. The
hopes of this was to establish the gaps that AI had in its approach of the design
process and highlight the need for a symbiotic relationship between AI and
human expertise.
157

SCRIPTING
PROCESS
The result of our script prompt from ChatGPT resulted in a one character
simple story about a little girl named Ellie and her exploration of emotions
through adventure. Reading this story critically from a human perspective, we
observed that although the story did meet the specifications of our prompt, and
covered all of the emotions we had asked, the flow of the story is choppy and
does not flow the way a traditional childrens book might.
Prompt: Can you write me a simple 12 page children's book teaching young audiences about the emotions
of: happiness, Sadness, Fear, Anger, Love, Empathy, Surprise, Disgust, Pride, Jealousy, Guilt, Contentment,
Confusion, Excitement, and calmness? Please also describe an illustration that could go with each page.
ChatGPT:
Title: “Exploring Emotions with Ellie”
Page 1: Title Page
Title: “Exploring Emotions with Ellie”
Illustration: A smiling young girl named Ellie stands by a colorful sign that reads “Emotion Adventure
Begins Here,” with her backpack ready for a journey.
Page 2 :Introduction
Text: “Meet Ellie, our curious adventurer! She’s setting off to explore feelings.”
Illustration: Ellie with her backpack, surrounded by emotion symbols like hearts, tears, and smiles,
indicating her upcoming adventure.
Page 3:
Happiness
Text: “Ellie feels happiness when she finds a shiny yellow sunflower. It makes her smile from ear to ear.”
Illustration: Ellie with a big, joyful smile, holding a tall sunflower under a bright, sunny sky.
Page 4:Sadness
Text: “One rainy day, Ellie’s ice cream dropped on the ground. She felt sad, with teardrops falling like
raindrops.”
Illustration: Ellie with a pouty face, looking down at her fallen ice cream with raindrops falling around her.
Page 5:Anger
Text: “When her tower of blocks toppled, Ellie got mad. She stomped her foot but decided to try again.”
Illustration: Ellie with a determined expression, rebuilding her block tower after it fell, with a playful
dragon nearby.
158

The next step was to test AI’s
ability to visualise children’s
book illustrations. For this step
we used ChatGPT’s ability to
translate into a language suitable
for our next tested AI software:
MidJourney. After initially asking
and confirming that ChatGPT
was familiar with the software,
we asked for it to give us a
suitable Midjoruney prompt for
the illustrations of each of our
storybook pages.
Prompt: “Ellie, with her backpack ready, stands
near the colorful sign that reads ‘Emotion Adventure
Begins Here.’ As she prepares to set off on her
emotional journey, show her excitement and anticipation
in her eyes and a big, eager smile on her
face. Ensure that she looks ready for her adventure.”
When we used ChatGPT to create
midjourney prompts based on
the illustrations it provided, we
found the text was too complex
and not in a suitable language for
MidJourney. The results of our
tests also failed to be continuous
in art and character style. For this
reason we decided to interfere
in this step of the process, and
ask ChatGPT to make a story
featuring multiple characters as
well as include the art style of the
illustrations in each Midjourney
prompt. In doing this, we were
able to ensure continuity in the
illustration aspect of our story.
Prompt: “Ellie, with her backpack ready, stands
near the colorful sign that reads ‘Emotion Adventure
Begins Here.’ As she prepares to set off on her
emotional journey, show her excitement and anticipation
in her eyes and a big, eager smile on her
face. Ensure that she looks ready for her adventure.”
VISUAL
TESTING
159

SCRIPTING
& VISUALIZATION
Prompt: Can you write me a very simple 12 page children’s book teaching young audiences about the
emotions of: happiness, Sadness, Fear, Anger, Love, Empathy, Surprise, Disgust, Pride, Jealousy, Guilt,
Contentment, Confusion, Excitement, and calmness? Make each emotion a different page with a different
character and describe an illustration that could go with each page
ChatGPT:
Title: “Emotions All Around”
Page 1 - Happiness
Illustration: A smiling sun shining over a playground filled with laughing children.
Text: “Meet Sunny the Sun! Sunny is beaming with happiness because it’s a bright and sunny day.
Happiness is when you feel joyful and full of smiles!”
Page 2 - Sadness
Illustration: A rainy day with a character named Rainy sitting under an umbrella, looking a little down.
Text: “Say hello to Rainy the Raindrop. Rainy feels a bit sad when the clouds are gray. Sadness is when you
feel a little blue.”
Page 3 - Fear
Illustration: A character named Timmy, wide-eyed, and looking startled while seeing a friendly-looking
monster hiding behind a tree.
Text: “Here’s Timmy the Turtle. Timmy is feeling a bit scared of the friendly monster in the woods. Fear is
when you get nervous and cautious.”
Page 4 - Anger
Illustration: A character named Fiery the Fireball, with a frowny face, trying to put out a small fire with a
hose.
Text: “Meet Fiery the Fireball. Fiery is angry because a little fire got out of control. Anger is when you feel
fiery inside.”
Page 5 - Love
Illustration: Two characters, Heart and Hug, hugging each other tightly with big smiles.
Text: “Heart and Hug are best friends. They feel love when they hug each other. Love is when you care for
someone very much.”
The result of asking ChatGPT to write a different story with different
characters resulted in the software creating a short story about several animal
or object characters each linked with a different emotion. We were a bit
sceptical of the results of this approach, but still tested it nonetheless. When
asking ChatGPT to create the MidJourney prompts for this story, we ensured
to specify an animated art style for continuity.
160

Prompt: “Animate a rainy day scene with a
character named Rainy sitting under an umbrella,
looking a little down. Depict the emotions and
atmosphere of sadness with raindrops falling gently
around Rainy.”
Prompt: “Animate a rainy day scene with a
character named Rainy sitting under an umbrella,
looking a little down. Depict the emotions and
atmosphere of sadness with raindrops falling gently
around Rainy.”
After testing the script and
prompts on the mid-journey AI
platform, we were dissatisfied
with the outcomes.
Prompt: “Fiery the Fireball with a frowny face
trying to put out a small fire with a hose. Illustrate
Fiery’s anger with flames and fiery expressions.”
The prompts generated by GPT
led to inconsistent visualisations,
and the introduction of
characters based on animals
and objects created confusion
and disrupted the animation
style. This lead us to return to
the planning stage where we
specifyied a consistent art style
using human characters.
161

FINAL SCRIPT
& VISUALIZATION
After numerous iterations and tests, we settled on this final script for our
children’s book. In this prompt, we requested multiple human characters to
maintain cohesiveness throughout the project and align the AI-generated
results with our desired vision. Below is the script generated by ChatGPT:
Prompt: Can you write me a very simple 12 page children’s book teaching young audiences about the
emotions of: happiness, Sadness, Fear, Anger, Love, Empathy, Surprise, Disgust, Pride, Jealousy, Guilt,
Contentment, Confusion, Excitement, and calmness? Make each emotion a different page with a different
character and describe an illustration that could go with each page
Book Extract:
Page 1 - Happiness
Illustration: A smiling boy playing with colorful balloons in a sunny park, surrounded by laughing children.
Text: “Meet Happy Henry! Henry feels happiness when he plays with balloons. Happiness is a warm, sunny
feeling!”
Page 2 - Sadness
Illustration: A girl sitting alone under a rainy sky, her umbrella barely shielding her from the downpour.
Text: “This is Sad Sarah. Sarah feels sadness when it rains and she can’t play outside. Sadness is like tears
from the sky.”
Page 3 - Fear
Illustration: A boy with wide eyes, trembling slightly, as he encounters a friendly but big teddy bear in the
dark.
Text: “Brave Ben sometimes feels fear in the dark, even when it’s just a teddy bear. Fear is like a fluttering
heart.”
Page 4 - Anger
Illustration: A girl with a furrowed brow and clenched fists, frustrated because her tower of blocks toppled
over.
Text: “Meet Angry Amy. Amy gets angry when her blocks fall. Anger is like a rumbling storm inside.”
Page 5 - Love
Illustration: A boy hugging his loyal dog, both with hearts above their heads, showing their deep affection.
Text: “Loving Lucas loves his dog, Max. Their hugs are filled with love, like warm sunshine.”
162

From this script, we then used the same process and asked ChatGPT to
provide us with Midjourney prompts in order to visualise the rest of our story.
We also then applied the different formatting guidelines that ChatGPT gave
us in order to create mockup pages of our book. The results of this were the
following:
163

Overall, one of the standout advantages of creating an entire children’s
book using AI was the expediency it brought to the design process. AI’s
ability to generate formatting recommendations could potentially save
designers time enabling them to focus more on the creative aspects
of the book. As well, AI can assist human authors and illustrators by
automating repetitive tasks, suggesting creative ideas, and generating
content at scale.
In an interview around the impact of AI on children’s books with
Dima Al Alami, a prominent children’s book author and teacher,
Ms. Al Alami underscored the importance of leveraging AI in book
design, particularly in communities where technological assistance
can significantly reduce the labour-intensive aspects of book creation.
She emphasised that AI can streamline processes, making literature
more accessible to a broader audience. However, it was unequivocal in
her stance that AI can never replicate the essential human elements of
books. Whether it’s the emotional depth of illustrations, the creativity
of storytelling, or the intimate connection forged through reading,
these aspects remain distinctly human. Ms. Al Alami’s perspective
underscores the potential of AI to augment and enhance the creation of
children’s books while preserving the irreplaceable human touch that
makes these books so special. This insight serves as a crucial reminder
of the harmonious coexistence of technology and human creativity in
the realm of children’s literature.
While the collaboration with AI brought numerous benefits to our
project, it was not without its challenges. The setbacks included the
risk of over-reliance on AI, the absence of nuanced artistic insights,
and the potential disconnection between formatting and creative
design. These challenges underscored the importance of maintaining
a symbiotic relationship between AI and human expertise, with
AI serving as a valuable tool to enhance efficiency while human
creativity and judgement retained their pivotal roles in the design
process. Additionally, there are ethical considerations surrounding data
privacy and the potential for AI algorithms to inadvertently reinforce
stereotypes or biases present in the training data. Additionally, while
164

AI excels at generating technical
formatting details, it lacks the
nuanced understanding of artistic
and emotional elements crucial
to book design. This limitation
became apparent when dealing
with aspects such as font selection
and layout composition. AI’s
suggestions often lacked the
subtle nuances that a human
designer could provide, potentially
impacting the book’s overall
aesthetic and emotional impact.
Furthermore, the reliance on AI
for formatting instructions meant
that the creative design process
was somewhat detached from the
initial stages. The project required
us to strike a balance between AIassisted
efficiency and the handson
creativity that’s essential in
book design.
The influence of AI extends far
beyond children’s literature. It
permeates the broader world of
design, revolutionising how we
create, interpret, and interact
with visual and written content.
AI-driven design tools, such as
ChatGpt and midjourney have the
potential to empower designers
to explore innovative ideas
more rapidly. Moreover, AIdriven
content recommendation
systems are changing the way we
consume information, making
design and content creation more
audience-centric. However, the
transformative power of AI also
raises fundamental questions about
human creativity and emotion, the
role of designers, and the ethical
implications of autonomous
design decisions. It prompts us to
consider how we can harness AI as
a tool to enhance human creativity
rather than replace it entirely. As
designers it is important to learn
the tools of AI and use them to our
advantage, allowing us to fully
understand and take advantage of
the tools AI has to offer.
“Books are intimate, AI cannot replicate
that intimacy, not yet...”
-Dima Al Alami, Author
165

AI-Powered Urban Transformation:
Turning Concrete Jungles into Green Paradises
Project name: Madrid Greenscape Revolution (MGR)
Authors: Laura Holtslag Alvarez, Agnieszka Widziewicz
Tools and platforms used: Midjourney, ChatGPT, Bard, Photoshop AI
Summary of the project and process:
In the heart of the bustling metropolis that is Madrid, lies a visionary
design project aimed at reimagining its urban landscape. Madrid, known
for its rich cultural heritage and vibrant city life, has long been a center
of Spanish culture and history. However, in the face of rapid urbanization
and the challenges of a changing climate, the importance of nurturing
green spaces cannot be overstated.
166

MGR reimagines popular public
spaces in Madrid such as Plaza
Mayor and Puerta del Sol as green
spaces, in order to preview what
the city could look like if steps
were taken to reintroduce native
plant species to the area. By
strategically selecting and placing
flora we aim to combat the urban
heat and enhancing the overall
quality of life for the people of
Madrid. Native plant species not
only enhance biodiversity but also
reduce the need for excessive
maintenance, ultimately saving
resources and reducing the carbon
footprint of our urban spaces.
Besides reducing the effects
of microclimates created by
cities and mitigating pollution,
the presence of nature in urban
environments has been proven to
reduce stress and anxiety, while
fostering a sense of community
and connectedness.
The role of AI
Throughout the process, Artificial
Intelligence (AI) platforms have
been used to aid data collection,
visualisation, and design. AI
enriches design projects by swiftly
generating 3D models, realistic
visuals, and insights from vast
data, igniting creativity and
efficiency. Despite controversies,
its responsible integration fosters
innovation through collaborative
human-AI synergy. Through this
project, we realised and
experimented with the strengths
and weaknesses AI tools present
as a design aid.
1.0 Plaza Mayor as a green space 167

Taking Creative Licence
Where humans may fail to clearly
communicate their wishes and
design visions, AI platforms such
as Midjourney (MJ) make up for
it with enthusiasm and ‘creativity‘.
Puerta del Sol, a historic bustling
plaza in the heart center of
Madrid that attracts hundreds of
tourists each day, is, unfortunately,
one big slab of stone and
concrete. Locals avoid walking
across the square during the heat
of the day, feeling the heat
radiating from all directions: the
hot sun above, the massive stones
below, and the buildings
surrounding left, right, and center.
Although the importance of
maintaining historical sites such
as Sol is recognised, the
importance of maintaining a
livable space while providing
regenerative solutions to combat
climate change is a must.
Reintroducing native plants
contributes to the absorption of
pollutants from the atmosphere
and water sources, the provision
of shade, and the establishment
of habitats for wildlife, allowing
insects and pollinators back into
urban spaces.
Figure 2.1 shows the first prompt
given to MJ to reimagine Sol. Not
understanding “puerta” is simply
part of the name, MJ adorned a
literal gate with plants.
2.1 First attempt at Puerta del Sol with Midjourney
2.2 “Visualise the square with more plants”
2.3 Inserting a park in a Sol-esque plaza
168

2.4 What even is Sol?
Figures 2.3 through to 2.6 show
the experimentation and adjusting
of the various prompts fed to MJ.
One of the key learnings here was
that although MJ seems to have
a general understanding of what a
known public space looks like, it is
not able to produce a fully realistic
and accurate representation of it.
Buildings were added that don’t
exist, streets placed where the
original Sol has no streets.
However, the images generated
provide value in through
inspiration. The AI platform allows
for the creation of many different
versions of a design in rapid
succession, taking rapid
prototyping and visualisation to a
whole new level for designers and
architects. The ability to combine
the use of different AI platforms
while keeping a check on reality is
what will allow AI to become the
greatest tool for us to use.
Puerta Del Sol
2.5 Madrid: from Concrete Jungle to Actual Jungle
2.6 Back to the Future: Madrid Edition
169

The Prompt Struggle
2.7 “Urban design of the square Puerta de Sol in Madrid, incorporation of plants native to Madrid, create spaces for
picnic, hanging out with friends, add bike lane, metro station entrance with a separate one with elevator for disabled
people, sustainable and resilient, aerial view “
There are a few features in Puerta
del Sol which would need to
remain to make the green space a
successful addition: the statue of
King Felipe III, easy access to the
Sol Metro, and a clear visualisation
of Sol. Various prompts were used
and adjusted to create this ideal
image generation, specifying the
forementioned constraints, as well
as introducing the names of native
plant species to the instruction
and adding ‘leisure’ features such
as spaces for sitting down, a bike
lane, and ensuring that the overall
design is sustainable and resilient.
This myriad of instructions proved
to be too much for MJ.
2.8 “Urban design of the square
Puerta de Sol in Madrid, don’t
change the buildings that there
are now, include metro entrance,
and statue that exists there now,
incorporation of plants native
to Madrid, such as Holm Oak,
Spanish Broom, Spanish
Lavender, Thyme, and Wild Olive,
spaces for picnic, bike lane with
cyclists, metro station entrance,
sustainable and resilient, aerial
view, metro station”.
170

Puerta Del Sol
2.9 In the mood for a dip in the fountain? Midjourney takes a creative twist
With our growing populations
and globalisation, cities can be
the most sustainable option for
living. However, having access
to nature and green spaces is
highly important for the human
psyche. Exposure to nature yields
numerous mental and physical
health benefits, such as stress
reduction, mood enhancement,
and immune system
reinforcement.
Sensing the approaching limits
of MJ’s ability to create a realistic
view of Puerta del Sol, Photoshop
was employed to design a green
space into Sol from an already
existing image. Photoshop 2024
provides the tool to select and
area of the image and generate
a new fill - much like the image
generation MJ executes. Figure
2.10 shows a first attempt at using
Photoshop in this synergy.
2.10 Photoshop to the rescue 171

A Promising Result
For reimagining Plaza Mayor, the
first prompt given to MidJourney
was simply “Plaza Mayor in Madrid
as a green space”. The images it
generated (figure 3.1) show a
central space with a different
styles of landscaping, and
buildings that share a rough
likeness to the walls that surround
Plaza Mayor.
The prompt was then adjusted to
“Redesign Plaza Mayor in Madrid
as a park, without changing the
original buildings and size of Plaza
Mayor, and keep a 4 meter wide
perimeter as a sidewalk”, in order
to see if MidJourney would keep
the space free where currently
Plaza Mayor has restaurant
terraces (figure 3.2). It didn’t.
Out of the four images MJ
generates, the option arises to pick
one to elaborate on by changing
the prompt or creating different
view points by zooming out or
panning the camera point of view.
The image generated by 3.2
was elaborated by adding “Keep
the original statue and location
of restaurants”, to the existing
prompt. Although neglecting
both the statue and restaurants,
it provided an image with a
more recognisable likeness to
the existing Plaza Mayor, and
incorporating green spaces in an
aesthetically pleasing manner.
3.1 First attempt at Plaza Mayor with Midjourney
3.2 Second attempt at Plaza Mayor with MidJourney
3.3 Elaboration of the second image from figure 3.2
172

3.4 When AI goes wrong
3.5 Elaboration of figure 3.3
3.6 “Strong variation“ of 3.5
However, sometimes AI platforms
have issues with what we as
humans consider “normal“. Upon
asking MJ to insert the statue of
Felipe III which dominates the
center of Plaza Mayor, MJ had a
difficult time understanding from
our prompt what it was supposed
to look like – see figure 3.4.
Although specifics might seem like
it would help MJ, simplifying the
the part of the prompt concerning
the statue to simply “Insert the
statue of the man on the horse
in the center“ proved to generate
an image with a more accurate
representation of the actual statue,
and a recognisable layout of Plaza
Mayor.
Along with subtle variations, the
AI platform also has a feature for
“stronger variations”, which in turn
creates a more liberal modification
of the previously generated image
depending on the new prompt
provided. Figure 3.6 shows the
results of one such variation. The
issue represented with this
variation is that MJ started to
neglect once more the constraints
and buildings of the existing Plaza
Mayor. Besides which, one of the
constraints of this project were to
preserve focus on the original
public space, using plants to
enhance the experience. This
generated image makes the green
space the new focus instead.
Plaza Mayor
173

AI to AI
To the simple human brain
it seems pretty logical that
machine speaks machine,
and so Bard and ChatGPT
were employed to create
prompts for MJ. The issue
that presented itself was
that these two platforms still
need a human input in order
to create the prompt for
MJ. Although creative and
visually appealing, MJ once
again forgot the constraints
of Plaza Mayor and decided
to take some more creative
freedom as shown in figure
3.7.
3.7 Using Bard to create a prompt for Midjourney
Bard
Create a concise prompt for MidJourney
AI to redesign Plaza Mayor in Madrid
as a green space, naming 5 plant species
which are native to Madrid. Phrase it
so that the original constraints of Plaza
Mayor aren’t changed.
Midjourney
Redesign Plaza Mayor in Madrid as a green space using native plant
species, including: Iberian holm oak (Quercus rotundifolia) Aleppo
pine (Pinus halepensis) Strawberry tree (Arbutus unedo) Spanish
juniper (Juniperus thurifera) European nettle tree (Celtis australis).
Constraints: Preserve original layout of the square, including
buildings, statue, and restaurant terraces.
Several attempts were
made to get MJ to
generate an image
of the Equestrian
Monument of Felipe
III – the center piece of
Plaza Mayor, however
with human descriptive
text leaving room for
interpretation, none were
quite successful. There
is, however, this image,
which is quite amusing.
174
3.8 Using ChatGPT to create a prompt for Midjourney

3.9 Blending images on Midjourney
MJ also presents
the option to image
“blend”. An existing
image of Plaza Mayor
and one previously
generated by MJ
were chosen to blend.
Plaza Mayor remains
recognisable but the
incorporation of a
green space is a little
sad.
Plaza Mayor
Instead of modifiying more
images and changing
prompts, one of the earlier
succesful prompts was
reintroduced including
5 native plant species –
information which was
gathered through the
use of ChatGPT and then
cross-referenced with Bard.
Although vastly different
between the four generated
images, the 4th image
showed real promise, and it
is this image that lead to the
final representation of Plaza
Mayor as a green space.
3.10 “Without changing the original buildings and size, redesign Plaza Mayor in Madrid
as a green space using: Holm Oak, Spanish Broom, Spanish Lavender, Thyme, and Wild
Olive. Keep a 4 meter wide perimeter for: sidewalk and restaurant terraces. “
175

4.1 Puerta del Sol merging of Midjourney generated image and Photoshop AI tool
4.2 Chosen Plaza Mayor redesign before adding in statue of Monarch Felipe III
176

To Conclude
The endeavor to redesign popular
public spaces in Madrid by
incorporating a greater abundance
of native plants represents a
vital step towards improving
the overall quality of urban
life and combatting pollution.
By carefully selecting suitable
locations, identifying native plant
species that thrive in Madrid’s
unique environmental conditions,
and developing thoughtful
design plans, this project sets
a commendable precedent for
sustainable urban development.
The anticipated benefits, ranging
from enhanced air quality and
reduced urban heat island effects
to increased biodiversity and
improved mental and physical
well-being, underscore the
value of this initiative for both
the environment and the city’s
residents.
For this project, and for many
future ones, AI tools are a helpful
means in the visualisation and
realisation of ideas. Although
cases present themselves where
the prompts fed to AI platforms
need further revision, AI is a new
language to be learned the same
as CAD softwares and other
platforms needed to be learnt at
some point.
4.3 Final image of Plaza Mayor as a green space 177

the end
p4d 2023