AI Governance
What is AI Governance?
The framework of policies, processes, and organisational structures that ensure AI systems are developed and deployed responsibly, ethically, and in compliance with applicable laws and regulations.
Terms that appear alongside ai governance
Each of these is named in at least one of the same controls as ai governance. The number is how many controls name both.
- governance 52 shared controls
- governance framework 27 shared controls
- transparency 13 shared controls
- accountability 12 shared controls
- eu ai act 9 shared controls
- generative ai 8 shared controls
- nist 8 shared controls
- ai safety 8 shared controls
Frameworks that govern ai governance
What the standards actually require on ai governance
Requirements naming ai governance across 6 standards, quoted from the control text.
On that basis decide whether to develop, provide or use the AI system or service; if proceeding, consider setting AI governance goals, for example by formulating an AI governance policy (named by each actor, for example an AI policy made of its responses to th...
japan-ai-guidelines::E.2 · E(2) Deciding whether to proceed and setting AI governance goals →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 →Ensure the agency's AI governance and assurance functions comply with Standard A: Accountability (sections 5.1 to 5.6).
nsw-ai-operational-policy-2026::4.3 · 4.3 Align AI governance and assurance with Standard A →Member States should foster national digital ecosystems for ethical and inclusive AI, support the participation of all countries, especially low- and middle-income ones, in international AI governance (including funding and travel), and ensure governments and...
unesco-recommendation-on-the-ethics-of-ai::PA2e · paras 59, 60, 64 Inclusive digital ecosystems, international participation, and measurable safety and transparency standards →Competent authority. Article 33 designates the competent authority as the central body for applying the law and issuing norms and guidelines (the national AI governance system, coordinated with the ANPD).
BRAI-A33 · Competent authority (central body) →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 →Questions people ask about ai governance
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