After deployment, an AI model's output begins to drift outside of the expected range. Which of the following is the development team's BEST course of action?

The correct answer is D. Return to an earlier phase in the AI life cycle. AAISM emphasizes that when model drift occurs, the best response is not a quick fix but rather to revisit an earlier phase of the AI life cycle to address data quality, retraining, or evaluation processes. Simply taking the model offline halts functionality without resolution, wh

AI Security Operations and Monitoring

Question

Options

ATake the AI model offline
BAdjust the hyperparameters of the AI model
CCreate an emergency change request to correct the issue
DReturn to an earlier phase in the AI life cycle

How the community answered

(17 responses)

B
12% (2)
C
6% (1)
D
82% (14)

Explanation

AAISM emphasizes that when model drift occurs, the best response is not a quick fix but rather to revisit an earlier phase of the AI life cycle to address data quality, retraining, or evaluation processes. Simply taking the model offline halts functionality without resolution, while adjusting hyperparameters or issuing emergency changes treats the symptom rather than the root cause. Proper governance requires returning to the design or training phases to re-establish stability, accuracy, and compliance of the model. Thus, the correct approach is to return to an earlier AI lifecycle phase.

Topics

#AI model drift#AI lifecycle management#Model monitoring#Model retraining

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