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.
