Cover Image

It's complicated. The relationship of algorithmic fairness and non-discrimination provisions for high-risk systems in the EU AI Act

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Meding, Kristof
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What constitutes a Deep Fake? The blurry line between legitimate processing and manipulation under the EU AI Act
by: Meding, Kristof, et al.
Published: (2024)

Beware! The AI Act Can Also Apply to Your AI Research Practices
by: Wernick, Alina, et al.
Published: (2025)

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
by: Meding, Kristof, et al.
Published: (2023)

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
by: Nolte, Henrik, et al.
Published: (2025)

Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
by: Marin, Lucas G. Uberti-Bona, et al.
Published: (2026)

Using predictive multiplicity to measure individual performance within the AI Act
by: Frohnapfel, Karolin, et al.
Published: (2026)

The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
by: Qureshi, Taro, et al.
Published: (2026)

Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
by: Hartmann, David, et al.
Published: (2024)

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
by: Guldimann, Philipp, et al.
Published: (2024)

Let's have a chat with the EU AI Act
by: Kovari, Adam, et al.
Published: (2025)

Robustness and Cybersecurity in the EU Artificial Intelligence Act
by: Nolte, Henrik, et al.
Published: (2025)

Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act
by: Autischer, Gregor, et al.
Published: (2025)

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
by: Llorca, David Fernández, et al.
Published: (2024)

Fair Enough? A map of the current limitations of the requirements to have fair algorithms
by: Regoli, Daniele, et al.
Published: (2023)

How to be fair? A study of label and selection bias
by: Favier, Marco, et al.
Published: (2024)

Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act
by: Arda, Sinan
Published: (2024)

Dataset resulting from the user study on comprehensibility of explainable AI algorithms
by: Bobek, Szymon, et al.
Published: (2024)

Federated learning model for predicting major postoperative complications
by: Park, Yonggi, et al.
Published: (2024)

Transparency as Architecture: Structural Compliance Gaps in EU AI Act Article 50 II
by: Schmitt, Vera, et al.
Published: (2026)

Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers
by: Geiger, R. Stuart, et al.
Published: (2024)

Managing extreme AI risks amid rapid progress
by: Bengio, Yoshua, et al.
Published: (2023)

Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act
by: Hoffmann, Barbara, et al.
Published: (2024)

The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act
by: Valdenegro-Toro, Matias, et al.
Published: (2024)

Subject Roles in the EU AI Act: Mapping and Regulatory Implications
by: Fabiano, Nicola
Published: (2025)

The EU AI Act and the Rights-based Approach to Technological Governance
by: Pavlidis, Georgios
Published: (2026)

Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act
by: Yew, Rui-Jie, et al.
Published: (2025)

Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts
by: Peng, Kenny, et al.
Published: (2025)

Algorithmic Administration and the EU AI Act: Legal Principles for Public Sector Use of AI
by: Pavlidis, Georgios, et al.
Published: (2026)

AICat: An AI Cataloguing Approach to Support the EU AI Act
by: Golpayegani, Delaram, et al.
Published: (2024)

ADAPT Centre Contribution on Implementation of the EU AI Act and Fundamental Right Protection
by: Lewis, Dave, et al.
Published: (2025)

Adoption of Watermarking for Generative AI Systems in Practice and Implications under the new EU AI Act
by: Rijsbosch, Bram, et al.
Published: (2025)

Thousands of AI Authors on the Future of AI
by: Grace, Katja, et al.
Published: (2024)

Interplay of ISMS and AIMS in context of the EU AI Act
by: Pötsch, Jordan
Published: (2024)

Frontier AI systems have surpassed the self-replicating red line
by: Pan, Xudong, et al.
Published: (2024)

AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act
by: Golpayegani, Delaram, et al.
Published: (2024)

AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI
by: Ho, Levin, et al.
Published: (2025)

Lessons for Editors of AI Incidents from the AI Incident Database
by: Paeth, Kevin, et al.
Published: (2024)

Regulating AI Adaptation: An Analysis of AI Medical Device Updates
by: Wu, Kevin, et al.
Published: (2024)

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
by: Deck, Luca, et al.
Published: (2024)

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
by: Olteanu, Alexandra, et al.
Published: (2025)