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The AI Act, gender equality and non-discrimination

What role for the AI office

Bibliographic Data

ID21757888
AuthorsFabian Lütz (0009-0009-9057-2697, University of Lausanne, corresponding author)
Year2024
Volume25
Issue1
Pages79-95
Publication date2024-03-01
Open AccessYes
TypeARTICLE
VenueERA (JOURNAL)
Journal identifiersISSN: 1612-3093 • E-ISSN: 1863-9038
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12027-024-00785-w
OpenAlexW4399567256
LanguageEN
Citations received3
References cited27

This article assesses whether the Artificial Intelligence Act sufficiently addresses issues of gender equality and non-discrimination law. To this end, the substantive provisions of the AI Act are analysed through the lens of gender equality and non-discrimination law, highlighting the proposed tools of fundamental rights impact assessments and bias audits to reduce gender biases and discriminatory risk. Furthermore, the role of the AI Office and its cooperation with national, European, and international bodies for gender equality enforcement are discussed and positioned within the global landscape of AI regulation

Audit · Business · Demographic economics · Economics · Enforcement · Gender bias · Gender discrimination · Gender equality · Human rights · Political science · Sociology · Ethics and Social Impacts of AI · Gender Studies · Hate Speech and Cyberbullying Detection · Law · Law, AI, and Intellectual Property · Psychology · Social Psychology · Accounting

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  • Enforcing and reforming the AI Act

    Open Access•Fabian Lütz•ERA•2026

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    Open Access•Alice Baroni, Claudia Padovani•European Journal of Communication•2025

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    Mercedese Broussard, Meredith Broussard•More than a Glitch•2023

  • Beyond the individual

    Open Access•Nathalie A Smuha•Internet Policy Review•2021

  • Gender equality and artificial intelligence in Europe. Addressing direct and indirect impacts of algorithms on gender-based discrimination

    Open Access•Fabian Lütz•ERA•2022

  • How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability

    Open Access•M Jones-Jang, Yong Jin Park et al.•Journal of Computer-Mediated…•2022

  • Auditing the AI auditors

    Open Access•Richard N Landers, Tara S Behrend•American Psychologist•2022

  • Human–AI Interactions in Public Sector Decision Making

    Open Access•Saar Alon-Barkat, Madalina Busuioc•Journal of Public Administration…•2023

Citations per year3
Citation span2025 - 2026 (2)
Highly citedNo

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Open DOIOpen Access
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