Model Risk Management

A framework, originally developed in the financial sector, for identifying, assessing, and mitigating the risks posed by models used in decision-making. Applied to AI, it involves validating model performance, monitoring for drift, documenting assumptions, and maintaining governance processes to ensure models behave as intended throughout their lifecycle.