Transparency Obligations
transparency · AI-governance topic
Transparency Obligations is disclosure of training data, model cards, system-card requirements. Across 9 tracked AI-governance instruments, 5 address this topic explicitly, 3 via general principles, and 0 are silent. 1 regime is in tension with peer instruments on this topic.
Definition and scope
Disclosure of training data, model cards, system-card requirements.
The cross-jurisdiction picture below shows how each of 9 tracked instruments treats this topic. The patterns vary substantially — explicit conflicts exist where instruments take incompatible positions, and no regimes are silent on this topic.
Cross-jurisdiction coverage
| Instrument | Jurisdiction | Coverage | Citation |
|---|---|---|---|
| EU AI Act | EU | governs | Arts. 13, 50 (transparency obligations) |
| Executive Order 14110 on Safe, Secure, Trustworthy AI | US | implicit | §4.2(a)(i) (reporting includes red-team results) |
| UK Pro-Innovation Approach to AI Regulation (White Paper) | UK | implicit | Principle 4 (transparency + explainability) |
| Interim Measures for Generative AI Service Management | CN | conflicts | Art. 4 + Algorithm Recommendation Rules — disclosure to CAC, not public; conflicts with EU public-disclosure model |
| G7 Hiroshima AI Process Code of Conduct | G7 | governs | Code §2 (publicly report capabilities, limitations) |
| OECD AI Principles (Recommendation) | OECD | governs | Principle 1.3 (transparency + explainability) |
| Council of Europe Framework Convention on AI | council_of_europe | governs | Art. 8 (transparency + oversight) |
| UN GA Resolution on Safe, Secure, Trustworthy AI | UN | implicit | Calls for trustworthy AI broadly |
| NIST AI Risk Management Framework | US | governs | Trustworthy characteristics 5 (transparency) + 6 (explainability) |
Conflicts and divergence
Instruments that take explicitly conflicting positions on Transparency Obligations.
- conflictsInterim Measures for Generative AI Service Management— Art. 4 + Algorithm Recommendation Rules — disclosure to CAC, not public; conflicts with EU public-disclosure model
Related topics
Topics with similar coverage patterns across the tracked instruments.
References
- EU-AIA-2024: Arts. 13, 50 (transparency obligations)
- US-EO-14110: §4.2(a)(i) (reporting includes red-team results)
- UK-WHITEPAPER-2023: Principle 4 (transparency + explainability)
- CN-GENAI-2023: Art. 4 + Algorithm Recommendation Rules — disclosure to CAC, not public; conflicts with EU public-disclosure model
- G7-HIROSHIMA: Code §2 (publicly report capabilities, limitations)
- OECD-AI-PRIN: Principle 1.3 (transparency + explainability)
- COE-AI-CONV: Art. 8 (transparency + oversight)
- UN-RES-2024: Calls for trustworthy AI broadly
- NIST-AI-RMF: Trustworthy characteristics 5 (transparency) + 6 (explainability)
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9 instruments tracked.