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100 | 1 | _ | |a Heinrichs, Bert |0 P:(DE-Juel1)166268 |b 0 |e Corresponding author |
245 | _ | _ | |a Discrimination in the age of artificial intelligence |
260 | _ | _ | |a London |c 2022 |b Springer |
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520 | _ | _ | |a 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. |
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773 | _ | _ | |a 10.1007/s00146-021-01192-2 |0 PERI:(DE-600)1458413-X |p 143–154 |t AI & society |v 37 |y 2022 |x 1435-5655 |
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