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Why fairness cannot be automated: bridging the gap between EU non-discrimination law and AI

Abstract:

In recent years a substantial literature has emerged concerning bias, discrimination, and fairness in artificial intelligence (AI) and machine learning. Connecting this work to existing legal non-discrimination frameworks is essential to create tools and methods that are practically useful across divergent legal regimes. While much work has been undertaken from an American legal perspective, comparatively little has mapped the effects and requirements of EU law. This Article addresses this cr...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.clsr.2021.105567

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0002-4709-6404
Publisher:
Elsevier
Journal:
Computer Law and Security Review More from this journal
Volume:
41
Article number:
105567
Publication date:
2021-06-22
Acceptance date:
2021-05-14
DOI:
ISSN:
0267-3649
Language:
English
Keywords:
Pubs id:
1106249
Local pid:
pubs:1106249
Deposit date:
2021-05-10

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