AI governance
AI governance: The roles, processes and controls through which an organization manages AI responsibilities and risks. It covers inventory, approvals, monitoring, incidents and documentation throughout the lifecycle. Effective governance links technical metrics to operational and decision-making responsibilities. Examples include AI system inventory, Pre-release review, Incident management.
In italiano: AI GovernanceLegge V · Overfitting, bias e collasso dei modelliIt covers inventory, approvals, monitoring, incidents and documentation throughout the lifecycle. Effective governance links technical metrics to operational and decision-making responsibilities.
Examples
- AI system inventory
- Pre-release review
- Incident management