AI Risk Governance

Design a stage-gated framework for AI development from concept to deployment, including risk assessment, safety testing, continuous monitoring, incident response, and clear accountability across internal teams and external partners. Compare governance models across sectors, propose measurable safety metrics, and outline how governance should adapt as capabilities evolve, ensuring transparency, auditability, and citizen trust.