AI governance
The rules, roles, and processes an organisation puts in place to make sure its AI is developed and used responsibly, fairly, and in line with the law.
The Simple Version
The rules, roles, and processes an organisation puts in place to make sure its AI is developed and used responsibly, fairly, and in line with the law.
Detailed Explanation
AI governance operationalises principles such as fairness, transparency, and accountability into concrete organisational controls. It encompasses strategy (defining AI values and risk appetite), structure (AI ethics committees, governance boards, and accountable executives), processes (risk assessment, conformity assessment, incident management), and assurance (internal audit, external review, regulatory reporting). ISO/IEC 42001 provides a certifiable management system for AI governance; ISO/IEC 38507 addresses corporate governance of AI at board level. Effective AI governance is the foundation on which EU AI Act compliance is built.
Key Characteristics
- Combines policy, structure, process, and assurance dimensions
- Spans the full AI lifecycle from design through retirement
- Aligns with ISO/IEC 42001 and ISO/IEC 38507 international standards
- Must be proportionate to the organisation's AI risk profile and complexity
Why It Matters
Boards and C-suites increasingly view AI governance as a strategic capability, organisations that invest early build the operational structures that enable faster, more confident AI adoption with reduced regulatory and reputational risk.
Real-World Analogy
Like corporate governance for financial management, the board, audit committee, risk function, and reporting processes that ensure financial activities align with legal requirements and shareholder interests.
Common Misconceptions
- AI governance is primarily a legal compliance task, it is fundamentally a strategic and operational management capability that compliance is only one dimension of.
- AI governance is only relevant to organisations developing AI, any organisation deploying AI systems is subject to governance obligations under the EU AI Act and good practice frameworks.
Related Terms
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