Insufficient documentation, transparency and data provenance
Inadequate documentation of the model, system, or data provenance/value-chain undermines auditability and accountability.
- Risk family
- Governance & process
- MIT domain
- 6. Socioeconomic and Environmental
- MIT subdomain
- 6.5 > Governance failure
- AI type
- GPAI, Classical_ML, Agentic
- Scope
- Organization
- Source standard
- MIT AI Risk Repository v4
Provenance
Framework crosswalk
Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.
- A.12 ISO/IEC 23894 Annex A A.12
- A.4.2 ISO/IEC 42001 Annex A A.4.2
- A.6.2.3 ISO/IEC 42001 Annex A A.6.2.3
- A.6.2.7 ISO/IEC 42001 Annex A A.6.2.7
- A.7.5 ISO/IEC 42001 Annex A A.7.5
- A.8.2 ISO/IEC 42001 Annex A A.8.2
- Art. 13
- CoP Transparency Ch. Measure 1.2
- ibm-lack-of-ai-agent-transparency Lack of AI agent transparency
- ibm-lack-of-data-transparency Lack of data transparency
- ibm-lack-of-model-transparency Lack of model transparency
- ibm-lack-of-system-transparency Lack of system transparency
- ibm-lack-of-training-data-transparency Lack of training data transparency
- ibm-uncertain-data-provenance Uncertain data provenance
- GENAI.12 Value Chain and Component Integration
More in Governance & process
Part of the Deployer AI Risk Register, an open-source resource developed by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.