Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness

Title data

Deck, Luca ; Müller, Jan-Laurin ; Braun, Conradin ; Zipperling, Domenique ; Kühl, Niklas:
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness.
In: Proceedings of the Third European Workshop on Algorithmic Fairness (EWAF'24). - Mainz, Germany , 2024

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Abstract in another language

The topic of fairness in AI, as debated in the FATE (Fairness, Accountability, Transparency, and Ethics in AI) communities, has sparked meaningful discussions in the past years. However, from a legal perspective, particularly from the perspective European Union law, many open questions remain. Whereas algorithmic fairness aims to mitigate structural inequalities at design-level, European non-discrimination law is tailored to individual cases of discrimination after an AI model has been deployed. The AI Act might present a tremendous step towards bridging these two approaches by shifting non-discrimination responsibilities into the design stage of AI models. Based on an integrative reading of the AI Act, we comment on legal as well as technical enforcement problems and propose practical implications on bias detection and bias correction in order to specify and comply with specific technical requirements.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	AI Act; Algorithmic fairness; Non-discrimination law; Ethical AI
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence > Chair Business Informatics and Human-Centered Artificial Intelligence - Univ.-Prof. Dr.-Ing. Niklas Kühl Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	30 Jul 2024 07:15
Last Modified:	30 Jul 2024 07:15
URI:	https://eref.uni-bayreuth.de/id/eprint/90113