Published document record

Reflection paper on the use of Artificial Intelligence (AI) in the medicinal product lifecycle

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    EMA/CHMP/CVMP/83833/2023. Final reflection paper.

    Source: European Medicines Agency. Retrieved 2026-09-10.

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Official metadata

Official title
Reflection paper on the use of Artificial Intelligence (AI) in the medicinal product lifecycle
Official reference
EMA/CHMP/CVMP/83833/2023
Document type
Guidelines
Document date
2024-09-09
Document date kind
Document issue
Document-date evidence
European Medicines Agency · PDF cover heading: 9 September 2024. — Exact issue date printed on this version.
Publication date
2024-09-30
Publication-date evidence
European Medicines Agency · Current version: First published 30/09/2024. — Establishes official publication of this version on 2024-09-30, before the 4 September 2026 cutoff.
Additional official dates
Version label
Final reflection paper
Legal status
Non binding
Legal-status evidence
European Medicines Agency · PDF cover; pp.3-4 Introduction and scope; pp.8-12 technical and governance considerations. — Non-legislative report, scientific guidance, strategic workplan or consultation text; not an act creating binding law.
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
Implementation
Corpus tier
Directly related
Sectors
  • Health
Policy membership
  • EU AI policy pathway

Classification evidence

  • Relevance class: Direct AI relevance · European Medicines Agency · PDF cover; pp.3-4 Introduction and scope; pp.8-12 technical and governance considerations. — AI/ML is a substantive regulatory or sectoral subject.
  • Sector tags: Health · European Medicines Agency · PDF cover; pp.3-4 Introduction and scope; pp.8-12 technical and governance considerations. — Addresses medicines or health-insurance AI.
  • Provenance tags: Authored by an EU agency or body · European Medicines Agency · PDF cover; pp.3-4 Introduction and scope; pp.8-12 technical and governance considerations. — Produced within the named EU agency/body; named personal author credits remain separate.
  • Provenance tags: Officially published · European Medicines Agency · Official record with linked English document. — Official EU endpoint distributes this independently citable English text.

Production provenance

Provenance tags
  • Authored by an EU agency or body
  • Officially published
Named bibliographic authors
  • Committee for Medicinal Products for Human Use · European Medicines Agency · European Medicines Agency · PDF cover names both committees.
  • Committee for Medicinal Products for Veterinary Use · European Medicines Agency · European Medicines Agency · PDF cover names both committees.
Institutions and roles

Official sources and identifiers

Previous and next versions

Research assessment

Inclusion rationale
AI and machine learning are the document's regulatory subject, with lifecycle-wide principles for evaluation, risk mitigation, governance, data, explainability, and trustworthy use in medicines.
Researcher notes
Cover issue differs from the later CVMP adoption on 11 September 2024. CHMP and CVMP are both EMA committees, not separate institutions for joint-authorship tagging.
Review status
verified

Relationships

No additional published relationships touch this record.

Verification

Expanded evidence review
Verified
Reviewed by
Yichen Hao
Evidence review date
2026-09-05T23:48:11Z

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

  • Last verified: 2026-09-05T23:48:11Z · PDF cover heading: 9 September 2024. Official linked English manifestation reviewed.
  • Last verified: 2026-09-05T23:48:11Z · PDF cover; pp.3-4 Introduction and scope; pp.8-12 technical and governance considerations. English text inspected in web extraction or Node fetch plus pypdf; no retained file snapshot claimed.

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