Journal Article

FZJ-2021-01621

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Discrimination in the age of artificial intelligence

Heinrichs, B. (Corresponding author)FZJ*

2022
Springer London

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Please use a persistent id in citations: http://hdl.handle.net/2128/30698  doi:10.1007/s00146-021-01192-2

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.

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5255 - Neuroethics and Ethics of Information (POF4-525) (POF4-525)

Appears in the scientific report 2022

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; DEAL Springer ; Ebsco Academic Search ; Emerging Sources Citation Index ; SCOPUS ; Web of Science Core Collection

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