Published document record

Assessment List for Trustworthy AI (ALTAI)

PDF source copies

These PDFs are hosted here for continued access. Each is labelled as an unmodified official PDF or a converted reading copy. They are saved copies, not a live statement of the latest law or institutional endorsement. Official source links remain below.

Official metadata

Official title
Assessment List for Trustworthy Artificial Intelligence (ALTAI) for self-assessment
Document type
Report
Document date
2020-07-17
Document date kind
Publication
Document-date evidence
European Commission · Commission library page heading 'Assessment List for Trustworthy Artificial Intelligence (ALTAI) for self-assessment', field 'Publication 17 July 2020', and English PDF 68342. — Establishes 2020-07-17 as this exact record's publication-based document date.
Publication date
2020-07-17
Publication-date evidence
European Commission · Commission library page metadata field 'Publication 17 July 2020' for the exact ALTAI publication. — Establishes 2020-07-17 as first official publication for this exact version or release.
Version label
Final
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
Supporting
Version status
Final
Temporal collection
Contemporary EU AI policy
Relevance class
Direct AI relevance
Policy stage
Consultation
Corpus tier
Core
Sectors
  • General cross sector
Policy membership
  • Coordinated European AI strategy
  • EU AI policy pathway

Classification evidence

  • Relevance class: Direct AI relevance · European Commission · ALTAI PDF title and the seven assessment sections operationalising the Ethics Guidelines' requirements for trustworthy AI. — The artifact directly governs, interprets, evaluates or operationalises EU artificial-intelligence policy rather than merely mentioning AI.
  • Sector tags: General cross sector · European Commission · ALTAI PDF title and the seven assessment sections operationalising the Ethics Guidelines' requirements for trustworthy AI. The cited scope applies horizontally to AI systems, models, providers, deployers or affected persons rather than one economic sector. — The retained general_cross_sector tag is supported by the artifact's horizontal AI-policy scope.
  • Provenance tags: Authored by an EU expert group · European Commission · PDF authorship/responsibility statement names the High-Level Expert Group on AI. — The text expressly assigns authorship and responsibility to the expert group.
  • Provenance tags: Officially published · European Commission · Commission library page metadata field 'Publication 17 July 2020' for the exact ALTAI publication. — The exact version is distributed through an official EU institutional endpoint.

Production provenance

Provenance tags
  • Authored by an EU expert group
  • Officially published
Named bibliographic authors
  • High-Level Expert Group on Artificial Intelligence · European Commission · PDF cover and responsibility statement identify the High-Level Expert Group on AI as author.
Institutions and roles

Official sources and identifiers

Research assessment

Inclusion rationale
The final self-assessment list provides practical assessment questions for the seven requirements introduced by the Ethics Guidelines.
Researcher notes
Analytical selection; authorship and publication date are verified on the Commission library page.
Review status
verified

Relationships

Verification

Expanded evidence review
Verified
Reviewed by
Yichen Hao
Evidence review date
2026-09-05T18:07:46Z

The evidence review date is not a separate human sign-off date. Review credit and evidence-review actions

  • Last verified: 2026-09-05T17:58:09Z · The Commission library page identifies the final Assessment List, its AI HLEG authorship and publication on 17 July 2020, and links the English PDF. Live re-review by AI-assisted reviewer on 5 September 2026 checked the official endpoint and exact-version identity, substantive scope, relevant dates and institutional attribution; prior verification history and retrieved_at are retained.

Return to the Corpus