Which of the following BEST detects model drift or unexpected changes in AI model outputs?

The correct answer is B. Anomaly monitoring. Anomaly monitoring (B) is the best technique because it continuously compares current model outputs against established baselines or expected distributions, flagging statistical deviations in real time or near-real time-which is exactly what model drift looks like…

AI Risk Management and Controls

Question

Options

AStandardization of AI configurations
BAnomaly monitoring
CAI model documentation reviews
DAI model retraining

How the community answered

(36 responses)

A
8% (3)
B
89% (32)
C
3% (1)

Explanation

Anomaly monitoring (B) is the best technique because it continuously compares current model outputs against established baselines or expected distributions, flagging statistical deviations in real time or near-real time-which is exactly what model drift looks like. Standardization of configurations (A) enforces consistency at setup but does not detect runtime deviations. Documentation reviews (C) are periodic and retrospective, not continuous. Model retraining (D) is a remediation action taken after drift is detected, not a detection mechanism itself.

Topics

#Model drift detection#Anomaly monitoring#AI operational monitoring#AI risk controls

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