Governance across the lifecycle
AI governance concerns how a system is designed, evaluated, introduced and used. The relevant questions depend on its purpose, the information it processes and the consequences of its outputs.
Human responsibility and system boundaries
Clear ownership, defined authorization and the ability to examine system behavior help connect automation with accountability. Governance must consider both technical performance and the organizational setting in which a system operates.