EU AI Policy Observatory

Published document record

ChatGPT and law enforcement

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    ISBN 978-92-95220-57-7; ISSN 2811-7719; DOI 10.2813/255453; QL-AW-23-001-EN-N. Published English report.

    Source: European Union Agency for Law Enforcement Cooperation. Retrieved 2026-09-10.

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    SHA-256: f203e6eccd94085127f4394765518896691904b8cdc4f7c9dd0f86b1ff3f39dd

Official metadata

Official title
ChatGPT – The impact of Large Language Models on Law Enforcement
Official reference
ISBN 978-92-95220-57-7; ISSN 2811-7719; DOI 10.2813/255453; QL-AW-23-001-EN-N
Document type
Report
Document date
2023-03-27
Document date kind
Publication
Document-date evidence
European Union Agency for Law Enforcement Cooperation · Official publication date field — Exact official publication date used because no exact issue day is stated in the reviewed report.
Publication date
2023-03-27
Publication-date evidence
European Union Agency for Law Enforcement Cooperation · 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
  • Law enforcement
  • Cybersecurity
Policy membership
  • EU AI policy pathway

Classification evidence

  • Relevance class: Direct AI relevance · European Union Agency for Law Enforcement Cooperation · PDF pages 8–9 and 12–14 — AI is the substantive policy subject of this document.
  • Sector tags: Law enforcement · European Union Agency for Law Enforcement Cooperation · Europol, ChatGPT: the impact of Large Language Models on Law Enforcement, Recommendations (printed p.12 / PDF p.13) and Conclusion (printed p.13 / PDF p.14). These discuss law-enforcement preparedness and investigative capacity from an expert-workshop perspective, not a validated prevalence estimate. — Analyses investigators' uses of and responses to LLMs.
  • Sector tags: Cybersecurity · European Union Agency for Law Enforcement Cooperation · Europol, ChatGPT: the impact of Large Language Models on Law Enforcement, Cybercrime subsection, printed pp.8-9 / PDF pp.9-10. The discussion concerns potential malicious-code and cybercrime uses and associated limits, not measured incidence. — Explains malicious-code and cybercrime implications.
  • Provenance tags: Authored by an EU agency or body · European Union Agency for Law Enforcement Cooperation · PDF page 15, Tech Watch Flash Report from Europol Innovation Lab — The report or opinion identifies its EU body as author.
  • Provenance tags: Officially published · European Union Agency for Law Enforcement Cooperation · Official document page and English download — Official publication and this English manifestation are evidenced.

Production provenance

Provenance tags
  • Authored by an EU agency or body
  • Officially published
Named bibliographic authors
None recorded after review
Institutions and roles

Official sources and identifiers

  • Official source · Publisher/host: European Union Agency for Law Enforcement Cooperation
  • Official source · Publisher/host: European Union Agency for Law Enforcement Cooperation

Research assessment

Inclusion rationale
Europol Innovation Lab report on criminal misuse and law-enforcement implications of large language models; discusses how generated tools lower technical barriers to malicious activity.
Researcher notes
Identity is the 2023 Tech Watch Flash report, ISBN 978-92-95220-57-7. Official metadata still cites Europol (2023), despite a 25 November 2025 webpage update; no revised report identity is claimed. A longer law-enforcement-only version mentioned by the launch notice is not this public report. No historical byte-comparison claim is made.
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 · Official indexed metadata retrieved on 6 September 2026 confirms Publish date 27 March 2023, Update date 25 November 2025 and explicit Europol (2023) citation. Direct open returned an application shell; primary report PDF opened successfully. Earlier direct page review is retained in discovery/2026-09-06-gap-scan/rights.json.
  • Last verified: 2026-09-06T00:41:49.332+01:00 · English primary text reopened on 6 September 2026 (Europe/London). Reviewed PDF pages 8–9 and 12–14; identity and attribution checked. Identity is the 2023 Tech Watch Flash report, ISBN 978-92-95220-57-7. Official metadata still cites Europol (2023), despite a 25 November 2025 webpage update; no revised report identity is claimed. A longer law-enforcement-only version mentioned by the launch notice is not this public report. No historical byte-comparison claim is made.

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