AI Model Governance

Definition

The policies, processes, and controls that ensure AI models are developed, validated, monitored, and retired in a controlled and accountable manner. AI model governance encompasses model risk management practices (including validation and back-testing), model inventory management, change control, and performance monitoring. It is closely analogous to the model risk governance frameworks established in banking regulation and is increasingly expected of all organisations deploying material AI systems.