The AI Act, gender equality and non-discrimination
What role for the AI office
Bibliographic Data
| ID | 21757888 |
|---|---|
| Authors | Fabian Lütz (0009-0009-9057-2697, University of Lausanne, corresponding author) |
| Year | 2024 |
| Volume | 25 |
| Issue | 1 |
| Pages | 79-95 |
| Publication date | 2024-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ERA (JOURNAL) |
| Journal identifiers | ISSN: 1612-3093 • E-ISSN: 1863-9038 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12027-024-00785-w |
| OpenAlex | W4399567256 |
| Language | EN |
| Citations received | 3 |
| References cited | 27 |
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
More than a Glitch
Beyond the individual
Gender equality and artificial intelligence in Europe. Addressing direct and indirect impacts of algorithms on gender-based discrimination
How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability
Auditing the AI auditors
Human–AI Interactions in Public Sector Decision Making
| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |