?asOf= parameter to see the current catalog state.Training-Data Rights
training_data · AI-governance topic
Training-Data Rights is copyright, consent, text-and-data-mining exceptions. Across 29 tracked AI-governance instruments, 3 address this topic explicitly, 7 via general principles, and 19 are silent.
Definition and scope
Copyright, consent, text-and-data-mining exceptions.
The cross-jurisdiction picture below shows how each of 29 tracked instruments treats this topic. The patterns vary substantially — and 19 regimes are silent, leaving gaps that future policy work could address.
Historical primacy & cross-jurisdiction tension
First addressed by NIST AI Risk Management Framework on (implicit). Subsequent regimes have either codified, diverged from, or remained silent on this baseline.
- Forum-shoppingInterim Measures for Generative AI Service Management↔Executive Order 14110 on Safe, Secure, Trustworthy AI
- Forum-shoppingNIST AI RMF Generative AI Profile↔Executive Order 14179 — Removing Barriers to American Leadership in AI
- Forum-shoppingIndia Digital Personal Data Protection Act + AI Advisory (MEITY)↔UK Pro-Innovation Approach to AI Regulation (White Paper)
Cross-jurisdiction coverage
At a glance — same legend as the hub matrix
Silent regimes — gap signal
Instruments that do not address Training-Data Rights — candidates for future policy work.
- Executive Order 14110 on Safe, Secure, Trustworthy AIUS
- Executive Order 14179 — Removing Barriers to American Leadership in AIUS
- UK Pro-Innovation Approach to AI Regulation (White Paper)UK
- G7 Hiroshima AI Process Code of ConductG7
- OECD AI Principles (Recommendation)OECD
- UN GA Resolution on Safe, Secure, Trustworthy AIUN
- Bletchley Declaration on AI Safetyglobal
- Seoul Declaration on Safe, Innovative and Inclusive AIglobal
- California SB-1047: Safe and Secure Innovation for Frontier AI Models ActUS
- ASEAN Guide on AI Governance and EthicsASEAN
- Anthropic Responsible Scaling Policy (RSP) v2US
- OpenAI Preparedness FrameworkUS
- Google DeepMind Frontier Safety FrameworkUS
- UK-US AI Safety Institute Memorandum of Understandingglobal
- White House Voluntary AI CommitmentsUS
- Singapore Model AI Governance Framework for Generative AISG
- NYC Local Law 144 of 2021 (Automated Employment Decision Tools)US
- Colorado Artificial Intelligence Act (SB 24-205)US
- Illinois HB 3773 / Public Act 103-0804 (AI Employment Discrimination)US
References
- EU-AIA-2024: Recital 105; CDSM Directive provides primary copyright framework
- CN-GENAI-2023: Art. 7 (legal source + IP requirements)
- COE-AI-CONV: Art. 11 (privacy + data protection)
- NIST-AI-RMF: Manage 4: data integrity
- NIST-AI-RMF-GENAI: NIST AI 600-1 §3.4 Data Privacy + §3.7 Intellectual Property
- IN-DPDP-2023: DPDPA §§4-7 (consent + purpose limitation for AI training data)
- BR-AIBILL-2024: PL 2338/2023 cross-references LGPD (2018) for data-rights baseline
- AU-AI-STRATEGY-2024: AU Strategy §5 + Malabo Convention (2014) data-protection baseline
- META-FRONTIER-2024: Open-weight framing engages training-data + IP issues; not the framework's primary lane
- JP-METI-AI-2024: Principle 4 (Safety) + Principle 2 (Education-Literacy) brush against training-data norms; ACA copyright regime separately addresses
Cite this article
6 formats · 1-click copyPersistent identifier: https://policywindow.org/wiki/training-data — committed-stable URL with content-versioning via ?asOf= (rollout pending per methodology §7). DOIs via Zenodo are on the roadmap.
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10 instruments tracked.