Skip to content

Generative AI Governance

What is Generative AI Governance?

Policies and controls for managing the risks of generative AI systems including accuracy, bias, intellectual property, data privacy, and misuse.

AI and Technology

Terms that appear alongside generative ai governance

Each of these is named in at least one of the same controls as generative ai governance. The number is how many controls name both.

Frameworks that govern generative ai governance

GDPRView framework →ISO 27001:2022View framework →EU AI ActView framework →

What the standards actually require on generative ai governance

Requirements naming generative ai governance across 3 standards, quoted from the control text.

HKMA SPM1 control

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 →
HKMA TM-G-11 control

HKMA TM-G-1 coordination + 2024-2025 pipeline. COORDINATION WITH HKMA FRAMEWORKS: (a) HKMA SPM UMBRELLA (separately referenced) - TM-G-1 is one of 60+ SPM modules; SPM provides overall framework + supervisory expectations;

HKMA-TMG1-Coord-SPM-CRAF-Basel-FSB-2024-2025-Pipeline · TM-G-1 Coordination with HKMA SPM, C-RAF v2.0, Basel III, FSB, ISO 27001, NIST CSF and 2024-2025 Pipeline →
NIST AI 600-1: Generative AI Profile1 control

Establish Generative AI governance per NIST AI 600-1 governance actions including: dedicated GAI governance function with named accountable officer + policies covering data + model + deployment + use cases + risk acceptance and residual risk decisions document...

NISTAI600-2 · GAI Governance - Roles, Policies, and Risk Acceptance →

Questions people ask about generative ai governance

What is Generative AI Governance?
Policies and controls for managing the risks of generative AI systems including accuracy, bias, intellectual property, data privacy, and misuse.
Why is Generative AI Governance important for compliance?
Generative AI Governance is a key concept in AI and Technology. Understanding generative ai 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 Generative AI Governance?
Generative AI Governance appears in the requirement text of HKMA SPM, HKMA TM-G-1, NIST AI 600-1: Generative AI Profile. Across these standards we have identified 3 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Generative AI Governance?
Explore our compliance framework pages to see how generative ai 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 Generative AI Governance applies across compliance frameworks

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

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