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Report 'European policy guidelines on AI and algorithm-driven discrimination' (2025)

19/12/2025

The Report 'European Policy Guidelines on Artificial Intelligence and Algorithm-Driven Discrimination' shows how equality bodies and national human rights institutions can use their mandate to protect fundamental rights in AI applications and detect and reduce risks of discrimination, especially in the public sector. The guidelines build on the EU AI Regulation and other European standards. Unia actively contributed to the report.

Aim of the guidelines

Against this backdrop, these policy guidelines aim to equip equality bodies and other NHRS, especially in the European Union, to tackle discrimination in AI/ADM systems, by: 

  • updating them on their responsibilities regarding the changing regulatory environment on artificial intelligence, including how it directly or indirectly affects their mandate;
  • offering them specific guidelines, recommendations and examples of good practices for overseeing the application and implementation of the new regu lations, while linking them to existing regulation;
  • acting as a resource for equality bodies and NHRS to assist and advise national stakeholders, such as policymakers and regulators, in relation to human rights, equality and non-discrimination. 

These guidelines focus in particular on AI/ADM systems in the public sector

Part 1

The first part of the guidelines is structured around the articles in the AI Act which are most critical for equality bodies and other NHRS, either because they directly or indirectly affect their mandate, or because they imply significant changes for other institutions, regulators or governance frameworks. For each of these articles, links are made with existing regulations on data protection (the European Union General Data Protection Regulation,6 the European Union Law Enforcement Directive7 and the Council of Europe Convention 108+ for the Protection of Individuals with regard to Automatic Processing of Personal Data), and the Council of Europe Framework Convention.

Part 2

The second part of the guidelines offers an overview of the Standards Directives, which are relevant for equality bodies in the context of equality in AI systems, and thematic entry points for the sectors of law enforcement; migration, asylum and border control; welfare and social security; employment; and education, where uses of AI systems pose significant risks in terms of discrimination. Each theme marks the AI Act articles which are relevant for the sector.

Context

This report was prepared in the context of the “Upholding equality and non- discrimination by Equality bodies regarding the use of artificial intelligence in public administrations” project, which is funded by the European Union via the Technical Support Instrument and co-funded by the Council of Europe. The proj ect is implemented by the Council of Europe in co-operation with the European Commission, the Interfederal Centre for Equal Opportunities (Unia, Belgium), the Non-Discrimination Ombudsman (Finland) and the Commission for Citizenship and Gender Equality (Portugal)

Topic file

Artificial in­tel­li­gence (AI) and dis­crim­i­na­tion

Artificial intelligence (AI) poses risks of discrimination at a societal and individual level. Discover Unia's dossier on AI.

Advise or recommendation, Research projects, Reports

Report 'Legal protection against algorithmic dis­crim­i­na­tion in Europe' (2025)

15 December 2025

The report 'Legal protection against algorithmic discrimination in Europe' examines how these emerging legal instruments contribute to strength ening protections against algorithmic discrimination in Europe and assesses the lacunae that continue to affect these legal frameworks. 

Research projects

AI project: non-dis­crim­i­na­tion in use of AI in public ad­min­is­tra­tions

1 February 2026

Unia is participating in a European project to strengthen capacities of equality bodies in view of increasing use of AI in government.

  • Advise or recommendation
  • Reports
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  • Origin or social condition
  • Birth
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  • Protected gender criterion
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