AI and Society:1-12 (forthcoming)

Authors
Bert Heinrichs
Universität Bonn
Abstract
In this paper, I examine whether the use of artificial intelligence and automated decision-making 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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DOI 10.1007/s00146-021-01192-2
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References found in this work BETA

What is Discrimination?Sophia Moreau - 2010 - Philosophy and Public Affairs 38 (2):143-179.
From Individual to Group Privacy in Big Data Analytics.Brent Mittelstadt - 2017 - Philosophy and Technology 30 (4):475-494.

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