Published document record
Bias in algorithms: AI and discrimination
Official metadata
- Official title
- Bias in algorithms – Artificial intelligence and discrimination
- Official reference
- ISBN 978-92-9461-935-8; DOI 10.2811/25847; TK0922347ENN
- Document type
- Report
- Document date
- 2022-12-08
- Document date kind
- Publication
- Document-date evidence
- European Union Agency for Fundamental Rights · Official publication date field — Exact official publication date used because no exact issue day is stated in the reviewed report.
- Publication date
- 2022-12-08
- Publication-date evidence
- European Union Agency for Fundamental Rights · Official publication date field — Official publication of this English document, before the 4 September 2026 cutoff.
- Version label
- Published English report
- Legal status
- Non binding
- Language
- en
Research classifications
These are researcher classifications used to organise and analyse the corpus; they are not official EU metadata.
- Record level
- Principal
- Version status
- Final
- Temporal collection
- Contemporary EU AI policy
- Relevance class
- Direct AI relevance
- Policy stage
- Agenda setting
- Corpus tier
- Directly related
- Sectors
- Policy membership
Classification evidence
- Relevance class: Direct AI relevance · European Union Agency for Fundamental Rights · Printed page 21, 'What does this report cover?'; Chapters 2–3 — AI is the substantive policy subject of this document.
- Sector tags: Law enforcement · European Union Agency for Fundamental Rights · Chapter 2; printed page 21 — Tests predictive-policing feedback and discriminatory effects.
- Sector tags: Media and culture · European Union Agency for Fundamental Rights · Chapter 3; printed page 21 — Tests bias in automated detection of offensive online speech.
- Provenance tags: Authored by an EU agency or body · European Union Agency for Fundamental Rights · Printed page 21 expressly states FRA carried out further analysis and drafted this report — The report or opinion identifies its EU body as author.
- Provenance tags: Officially published · European Union Agency for Fundamental Rights · Official document page and English download — Official publication and this English manifestation are evidenced.
Production provenance
- Provenance tags
- Named bibliographic authors
- None recorded after review
- Institutions and roles
-
- European Union Agency for Fundamental Rights · Author · role evidence · Printed page 21 expressly states FRA carried out further analysis and drafted this report
- European Union Agency for Fundamental Rights · Official host · role evidence · Official agency/body document page and English download
- Publications Office of the European Union · Publisher · role evidence · PDF page 4, Luxembourg imprint
Official sources and identifiers
- Official source · Publisher/host: European Union Agency for Fundamental Rights
- Official source · Publisher/host: European Union Agency for Fundamental Rights
Research assessment
- Inclusion rationale
- Tests bias in predictive policing and offensive-speech detection and recommends assessment of training data, discrimination and appropriate safeguards.
- Researcher notes
- FRA designed the research and drafted this report after research by a consortium led by Rania Wazir (printed page 21). The consortium credit is retained as a research contribution, not substituted for report authorship.
- Review status
- verified
Relationships
No additional published relationships touch this record.
Verification
- Expanded evidence review
- Verified
- Reviewed by
- Yichen Hao
- Evidence review date
- 2026-09-06T00:41:49.332+01:00
The evidence review date is not a separate human sign-off date. Review credit and evidence-review actions
- Last verified: 2026-09-06T00:41:49.332+01:00 · FRA publication page: heading identifies Bias in algorithms - Artificial intelligence and discrimination; publication date 8 December 2022; Downloads lists the English report.
- Last verified: 2026-09-06T00:41:49.332+01:00 · English primary text reopened on 6 September 2026 (Europe/London). Reviewed Printed page 21, 'What does this report cover?'; Chapters 2–3; identity and attribution checked. FRA designed the research and drafted this report after research by a consortium led by Rania Wazir (printed page 21). The consortium credit is retained as a research contribution, not substituted for report authorship.