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@ARTICLE{Heinrichs:891610,
author = {Heinrichs, Bert},
title = {{D}iscrimination in the age of artificial intelligence},
journal = {AI $\&$ society},
volume = {37},
issn = {1435-5655},
address = {London},
publisher = {Springer},
reportid = {FZJ-2021-01621},
pages = {143–154},
year = {2022},
abstract = {In this paper, I examine whether the use of artificial
intelligence (AI) and automated decision-making (ADM)
aggravates issues of discrimination as has been argued by
several authors. For this purpose, I first take up the
lively philosophical debate on discrimination and present my
own definition of the concept. Equipped with this account, I
subsequently review some of the recent literature on the use
AI/ADM and discrimination. I explain how my account of
discrimination helps to understand that the general claim in
view of the aggravation of discrimination is unwarranted.
Finally, I argue that the use of AI/ADM can, in fact,
increase issues of discrimination, but in a different way
than most critics assume: it is due to its epistemic opacity
that AI/ADM threatens to undermine our moral deliberation
which is essential for reaching a common understanding of
what should count as discrimination. As a consequence, it
turns out that algorithms may actually help to detect hidden
forms of discrimination.},
cin = {INM-7},
ddc = {360},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5255 - Neuroethics and Ethics of Information (POF4-525)},
pid = {G:(DE-HGF)POF4-5255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000636619100001},
doi = {10.1007/s00146-021-01192-2},
url = {https://juser.fz-juelich.de/record/891610},
}