Published document record
EDPB–EDPS Joint Opinion 1/2026
PDF source copies
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Official PDF — unmodified source copy
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Download PDF — 15 pages (0.63 MB)Exact English EDPB-EDPS Joint Opinion 1/2026, adopted 20 January 2026, on the proposal concerning simplification of the implementation of harmonised rules on artificial intelligence. The downloaded PDF is the official EDPS co-author mirror of the document whose registered EDPB PDF now returns HTTP 403; the current EDPB landing page independently exposes the same title, opinion number, date and PDF filename.
Source: European Data Protection Board, European Data Protection Supervisor. Retrieved 2026-09-10.
Copy provenance and reuse
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SHA-256:
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Official metadata
- Official title
- EDPB–EDPS Joint Opinion 1/2026 on the Proposal for a Regulation as regards the simplification of the implementation of harmonised rules on artificial intelligence (Digital Omnibus on AI)
- Official reference
- Joint Opinion 1/2026
- Document type
- Opinion
- Document date
- 2026-01-20
- Document date kind
- Institutional adoption
- Document-date evidence
- European Data Protection Board and European Data Protection Supervisor · Joint-opinion PDF cover: 'EDPB-EDPS Joint Opinion 1/2026' and 'Adopted on 20 January 2026'. — Establishes 2026-01-20 as this exact record's institutional adoption date.
- Publication date
- 2026-01-21
- Publication-date evidence
- European Data Protection Board · EDPB landing-page date '21 January 2026' for 'EDPB-EDPS Joint Opinion 1/2026 on the Proposal on the AI Omnibus'. — Establishes 2026-01-21 as first official publication for this exact version or release.
- Version label
- Adopted opinion
- 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
- Negotiation
- Corpus tier
- Core
- Sectors
- Policy membership
Classification evidence
- Relevance class: Direct AI relevance · European Data Protection Board and European Data Protection Supervisor · Exact 'EDPB–EDPS Joint Opinion 1/2026 on the Proposal for a Regulation as regards the simplification of the implementation of harmonised rules on artificial intelligence (Digital Omnibus on AI)': subject heading and analysis/recommendation sections addressing the proposed EU AI Regulation or AI Omnibus. — The artifact directly governs, interprets, evaluates or operationalises EU artificial-intelligence policy rather than merely mentioning AI.
- Sector tags: General cross sector · European Data Protection Board and European Data Protection Supervisor · Exact 'EDPB–EDPS Joint Opinion 1/2026 on the Proposal for a Regulation as regards the simplification of the implementation of harmonised rules on artificial intelligence (Digital Omnibus on AI)': subject heading and analysis/recommendation sections addressing the proposed EU AI Regulation or AI Omnibus. 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 agency or body · European Data Protection Board and European Data Protection Supervisor · Exact PDF cover title 'EDPB-EDPS Joint Opinion 1/2026' names the European Data Protection Board and European Data Protection Supervisor as the joint issuing bodies. — The exact opinion is issued by the named EU body.
- Provenance tags: Joint institutional · European Data Protection Board and European Data Protection Supervisor · Exact PDF cover title 'EDPB-EDPS Joint Opinion 1/2026' jointly names EDPB and EDPS; the cover records adoption on 20 January 2026. — The opinion is expressly a joint instrument of two EU supervisory bodies.
- Provenance tags: Officially published · European Data Protection Board and European Data Protection Supervisor · EDPB landing-page date '21 January 2026' for 'EDPB-EDPS Joint Opinion 1/2026 on the Proposal on the AI Omnibus'. — The exact version is distributed through an official EU institutional endpoint.
Production provenance
- Provenance tags
- Named bibliographic authors
- None recorded after review
- Institutions and roles
-
- European Data Protection Board · Author · role evidence · Joint-opinion PDF cover: 'EDPB-EDPS Joint Opinion 1/2026' and 'Adopted on 20 January 2026'.
- European Data Protection Supervisor · Author · role evidence · Joint-opinion PDF cover: 'EDPB-EDPS Joint Opinion 1/2026' and 'Adopted on 20 January 2026'.
Official sources and identifiers
- Official source · Publisher/host: European Data Protection Board and European Data Protection Supervisor
- Official source · Publisher/host: European Data Protection Board
Formal procedure
Official procedure reference:
- 2025/0359(COD)
Parent or principal record
-
Parent or principal record: Digital Omnibus AI proposal
Procedural step for · Official relationship · Verified
Research assessment
- Inclusion rationale
- Verified official English text within the AI Act implementation and amendment corpus.
- Researcher notes
- Official metadata is transcribed from the cited source; corpus tier and policy-stage classification are researcher assessments.
- Review status
- verified
Relationships
No additional published relationships touch this record.
Verification
- Expanded evidence review
- Verified
- Reviewed by
- Yichen Hao
- Evidence review date
- 2026-09-05T18:07:46Z
The evidence review date is not a separate human sign-off date. Review credit and evidence-review actions
- Last verified: 2026-09-04T00:00:00Z · Official English PDF confirms EDPB–EDPS Joint Opinion 1/2026, adopted 20 January 2026, on COM(2025) 836 final.
- Last verified: 2026-09-05T17:58:09Z · Live official landing-page review on 5 September 2026. The page is dated 21 January 2026 and identifies Joint Opinion 1/2026; the linked exact PDF records adoption on 20 January 2026. Direct PDF retrieval during this pass was rate-limited, so the existing PDF source's retrieval and verification timestamps are intentionally unchanged.