Theory of Knowledge - Course Companion for Students Marija Uzunova Dang Arvin Singh Uzunov Dang

on or mor of th statmnts
Considr
drawn from past prsrid titls
low,
th TOK ssay. Basd on what w
for
disussd so far or on your prvious
hav
what an you laim, argu or
knowldg,
as an xampl from th prsptiv of
offr
in mathmatis is vry ommonly
Ethis
with th thial impliations of applid
onrnd
in nvironmntal sin, onomi
mathmatis
industry and thnology. In hr ook
poliy,
of Math Destruction, mathmatiian Cathy
Weapons
illustrats th dangrs of our rlian on
O’Nil
powrd y mathmatis. Ths
appliations
sh xplains, wr programmd
appliations,
“fallil human ings”. Built with good
y
th modls hav unavoidaly inhritd
intntions,
prjudis and iass of thir human rators
th
as suh, thy prptuat th injustis in our
and,
Th programms ar so omplx that, sav
soity.
a fw xprts, thir outputs ar not qustiond.
for
th sam tim, algorithms in “ig data” and
At
risk managmnt hav n idntifid
finanial
potntial sours of privay violations and
as
instaility.
onomi
th powr and valu of mathmatial
Givn
to ths domains, an argumnt an
knowldg
mad that spial thial rsponsiilitis fall
mathmatiians.
on
should that rsponsiility rst with
Or
sintists, thnologists, onomists
th
nginrs rsponsil for applying
and
knowldg to thir rsptiv
mathmatial
Whr is th lin of rsponsiility
domains?
mathmatis and its appliation? For
twn
lt’s onsidr David Li, rditd with
xampl,
innovations that powrd th ollatralizd
th
oligations that playd a starring rol in
dt
finanial risis of 2007–08. His work on
th
knowldg thr is always a trad-off twn
“In
and simpliity.” (IBO May 2016)
auray
th group to vrify it, knowldg is
“Without
possil.” (IBO Novmr 2015)
not
oth nals us to produ
“Thnology
and limits th knowldg that is
knowldg
opula was usd to alulat finanial
Gaussian
y invstmnt anks in th run-up to th
risk
risis. Th writr Flix Salmon dsrid
2007
as a “rip for disastr” and “th formula
it
killd Wall Strt” (Salmon 2009).Yt, vn
that
admirrs wr singing his praiss in 2005,
whn
for th risis, Li himslf was autioning
wll
th limitations of his modl, saying “Th
aout
dangrous part is whn popl liv
most
oming out of it” (Li quotd in
vrything
2005). H would latr xplain that
Whithous
formula “gains its popularity owing to its
his
ut that thr was “littl thortial
simpliity”
to it (Li quotd in Missnr 2008).
justifiation”
2007–08 finanial risis was ausd y many
Th
inluding govrnmnt suprvisory
prolms
fraud, moral hazard and prdatory
failurs,
pratis. It prsntd an nylopdia
usinss
thial ollapss. To fous th lam on Li
of
as ridiulous as it isignorant.
would
issu of attriuting thial rsponsiility
Th
mathmatiians for appliations of thir
to
is dply ompliatd. It may also hav
work
som mathmatiians to rtrat into
inspird
supposd safty of pur mathmatis, in
th
lif that suh work is not rlvant to
th
ommon, vulgar or violnt intrsts of
th
humankind.
Hardy rjoid that pur mathmatis
G.H.
so far rmovd from human ativitis that
was
would stay “gntl and lan” (1940). H
it
to tak prid in this aspt of his work,
appard
IV. Ethics
III. Methods and tools
IV. Ethics
Practising skills: Exploring perspectives
mathmatis in rspons?
produd.” (IBO Novmr 2013)
I V. E T H I C S
347