EXECUTIVE TAKEAWAYS
Three conclusions first
- ISO/IEC 42001 applies to organisations that develop, provide or use AI systems.
- Readiness starts with an AI-system inventory, clear accountability and risk-acceptance authority.
- The system must operate through PDCA and retain evidence of impact assessment, treatment and monitoring.
Questions one and two: who is accountable, and what are we managing?
Define the AI governance scope and the roles responsible for decisions, development, procurement, use, oversight and incident response. Accountability spans business, legal, data, security and management—not only model teams.
Create an AI-system inventory covering purpose, users, data sources, models or external services, deployment, dependencies and lifecycle state.
Questions three and four: how are impacts assessed and risks treated?
Assess impacts on individuals, groups, business goals, legal obligations and technical reliability. Fairness, transparency, privacy, safety, explainability and human oversight should be evaluated in context.
Risk treatment should identify the control owner, evidence, residual risk and acceptance authority. High-impact uses may need launch gates, human review, fallback and escalation.
- Purpose and affected parties
- Data and model limitations
- Intended and unintended impacts
- Human oversight and recourse
Questions five and six: do supply-chain controls and monitoring really operate?
Third-party models, data, platforms and labelling services still require governance of limitations, data use, version changes, continuity, incident notification and exit strategy.
Launch is not the finish line. Monitor drift, abnormal outputs, feedback, incidents and control effectiveness, and reassess when conditions change.
REFERENCES
REFERENCES
Use these links to verify the positioning of standards and regulations. Always refer to the latest official publication for formal requirements.