% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @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}, }