Framework
AI Model Documentation and Transparency Framework
This framework defines the documentation and transparency requirements for all AI systems deployed or developed by the organization. It establishes minimum standards for model cards, AI Impact Assessments, training data records, and transparency disclosures, ensuring that AI systems are understandable, auditable, and accountable to stakeholders, regulators, and affected individuals.
- Type
- Framework
- Version
- 1.0.18
- Date
- 2026-10-27
- Owner
- Chief Information Officer
- Approving authority
- Chief Information Officer
- Classification
- Public
- Confidentiality
- Public
- Category
- AI Governance
- Review frequency
- Annual and upon material AI framework or regulatory change
- Licence
- CC BY-SA 4.0
Read the full text on GitHub (opens in a new tab)
Outline
- Purpose
- Scope
- Governance and accountability
- 1. Model card requirements
- 2. AI impact assessment
- 3. Training data record
- 4. Transparency disclosures
- 5. Documentation lifecycle
- Framework alignment
Frameworks it maps to
- ISO/IEC 42001:2023
- EU AI Act (2024)
- EU GPAI Code of Practice, Transparency Chapter (July 2025)
- NIST AI RMF 1.0 (2023)
- ISO/IEC 12792:2025
- NIST IR 8312
- OECD AI Principles (2019, updated 2024)
- GDPR (2018)
- CSA AI Model Risk Management Framework (2024)
Related documents
- AI Governance Council Charterai
- AI Governance and Risk Frameworkai
- AI Testing, Validation and Documentation Standardai
- AI Model Lifecycle Management Procedureai
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