Definition
AI governance answers practical questions: who approves a new AI use case, how risk is assessed, what data may be used, how systems are tested and monitored, who is accountable when something goes wrong, and how the organisation complies with laws such as the EU AI Act.
Frameworks such as NIST's AI Risk Management Framework and the ISO/IEC 42001 management system standard give structure. Effective governance is proportionate: light for low-risk internal tools, rigorous for systems that affect customers, employees or regulated decisions.