AI Glossary: Risk management

AI risk management

The overall discipline of assessing and controlling AI program risks.

AI for risk management

Using AI to detect and quantify risk (fraud, cyber, ops outages) and trigger mitigations faster.

AI model risk management

Managing risk of models themselves (bias, drift, misuse) through testing, monitoring, fallback plans, and periodic review.

AI risk management framework

An AI Risk Management Framework: standardized processes, roles, and controls to identify, assess, treat, and monitor AI risks.

ALSO:

AI RMF

generative AI risk management

Managing GenAI-specific risks: harmful content, data leakage, copyright, brand safety.

ISO AI risk management

Aligning AI risk practices with ISO guidance.

IT risk control

Specific technical/operational controls (access, backups, change control) that reduce IT/AI risk.