Impact of Generative AI in Industries › AI Governance & Risk Management › Question #24842
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QWhat does continuous Al monitoring help to detect?

ID: #24842 AI Governance & Risk Management 6 views
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#24842Q ID
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AI Governance & Risk ManagementTopic
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  • A Model drift and abnormal behavior ✔ ✖
  • B Hardware failures only ✔ ✖
  • C Software licensing ✔ ✖
  • D Marketing trends ✔ ✖
Correct Answer: Option A

Explanation

The correct answer is: Model drift and abnormal behavior

Explanation:

Continuous AI monitoring helps track how a model performs over time and ensures it remains reliable. It is especially useful for detecting model drift (when the model's accuracy degrades due to changing data) and unexpected or abnormal behavior. This aligns with best practices from frameworks like the NIST AI Risk Management Framework.

Why not the others?

  • ❌ Hardware failures only → Monitoring AI focuses on model performance, not just hardware
  • ❌ Software licensing → Not related to AI monitoring
  • ❌ Marketing trends → That's a business analysis task, not model monitoring
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