The user wants to understand Anomaly Detection in the context of AI Safety & Risk and apply it to practical AI governance or compliance work.
Anomaly detection is the process of identifying observations, events, or patterns that differ significantly from expected behavior. In AI and data analysis, it is used to flag outliers that may indicate errors, fraud, security incidents, system faults, or other unusual conditions.
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