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AI Model Governance

What is AI Model Governance?

The processes and controls for managing AI models throughout their lifecycle, including development, validation, deployment, monitoring, and retirement. Model governance ensures accuracy, fairness, and compliance.

AI & Technology

Frameworks that govern ai model governance

EU AI ActView framework →COBIT 2019View framework →ISO 27001:2022View framework →

What the standards actually require on ai model governance

Requirements naming ai model governance across 6 standards, quoted from the control text.

ASEAN Guide on AI Governance and Ethics5 controls

Set up an ASEAN Working Group on AI Governance to drive and oversee the technical and operational implementation of AI governance action plans in the region.

AIGE-RR-1 · Establish an ASEAN Working Group on AI Governance →
Japan AI Guidelines4 controls

Third-Party AI Supplier Assurance addresses the complex AI supply chain where most enterprises consume foundation models + cloud AI services + AI-enabled SaaS rather than build from scratch.

JP-AIG-Third-Party-AI-Supplier-Assurance-Foundation-Model-Provider-AISI-Evaluation-Voluntary-Audit · Japan AI Guidelines Third-Party AI Supplier Assurance + Foundation Model Provider + AISI Evaluation + Voluntary Audit + ISO/IEC 42001 AI Management System + Sub-Processor + Cloud AI Service Provider + Open Source AI Governance →
China Cybersecurity Law (CSL)1 control

The October 2025 amendment to the CSL (effective 1 January 2026) added provisions promoting the safe development and governance of artificial intelligence within the cybersecurity framework.

CSL-Art2025AI · 2025 Amendment - AI Governance and Development →
Solvency II1 control

Per Solvency II Pillar 2: governance + ORSA. Requirements include (a) System of Governance including Risk Management + Internal Audit + Compliance + Actuarial + (b) Own Risk and Solvency Assessment (ORSA) + (c) Internal Model Governance + (d) Fit and Proper pe...

SOLVENCY-2 · Pillar 2 - Governance, ORSA, Internal Model Governance →
Global Cross-Border Privacy Rules (Global CBPR) Forum2 controls

Global CBPR Forum status + operations + future roadmap. ANNUAL MEETING: Forum Assembly meets at least annually; 2024 + 2025 meetings include UK formal accession + program updates + AI + PET working group outputs + new member accession + Global PRP expansion +...

CBPR-Status-AnnualMeeting-Working-Groups-Future · Global CBPR Forum: Status, Annual Meeting, Working Groups and Future Roadmap →
HKMA SPM2 controls

HKMA SPM status + Hong Kong International Financial Centre (IFC) positioning + future. ADOPTION: ~150+ HKMA AUTHORISED INSTITUTIONS (AIs) subject to SPM + module-by-module compliance;

HKMA-SPM-Status-Industry-Adoption-Future · HKMA SPM Status, Industry Adoption, Hong Kong International Financial Centre Positioning and Future →

Questions people ask about ai model governance

What is AI Model Governance?
The processes and controls for managing AI models throughout their lifecycle, including development, validation, deployment, monitoring, and retirement. Model governance ensures accuracy, fairness, and compliance.
Why is AI Model Governance important for compliance?
AI Model Governance is a key concept in AI & Technology. Understanding ai model governance helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address AI Model Governance?
AI Model Governance appears in the requirement text of ASEAN Guide on AI Governance and Ethics, Japan AI Guidelines, China Cybersecurity Law (CSL), Solvency II, Global Cross-Border Privacy Rules (Global CBPR) Forum. Across these standards we have identified 15 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about AI Model Governance?
Explore our compliance framework pages to see how ai model governance applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how AI Model Governance applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

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Written and maintained by Gerard Blokdyk, The Art of Service.