Standard
AI Model Risk Standard
This standard defines minimum requirements for assessing and managing AI model risk. It operationalizes the AI Model Risk Framework through enforceable expectations for data provenance, interpretability, representation, robustness, alignment, monitoring, documentation, approval, and retirement.
- Type
- Standard
- Version
- 1.1.7
- Date
- 2026-10-29
- Owner
- AI Governance Approver
- Approving authority
- Governance Library Maintainer
- Classification
- Public
- Confidentiality
- Public
- Category
- AI Governance
- Review frequency
- 6 to 12 months and upon material model, data, threat, regulatory, or assurance change
- Licence
- CC BY-SA 4.0
Read the full text on GitHub (opens in a new tab)
Outline
- 1. Purpose
- 2. Applicability
- 3. Requirements
- 4. Evidence requirements
- 5. Limitations
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