Framework
AI Model Risk Framework
This framework defines an organization-neutral model for identifying, assessing, treating, monitoring, and evidencing risks arising from AI model behaviour, data representation, robustness, interpretability, lifecycle control, and deployment context.
- Type
- Framework
- Version
- 1.0.5
- Date
- 2026-10-24
- 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
- Purpose
- Scope
- Model risk domains
- Inherent and residual model risk
- Lifecycle control model
- Evaluation requirements
- Governance requirements
- Framework alignment
- Limitations
Frameworks it maps to
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- AI Governance and Risk Frameworkai
- AI Model Risk Standardai
- AI Model Risk Assessment Procedureai
- AI Model Risk Control to Lifecycle Mapping Matrixai
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- System Card Templateai
- Ethical AI Use Guidelineai
- AI-Specific Risk Methodology Annexrisk
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