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QWhat is model drift?

ID: #24843 AI Governance & Risk Management 7 views

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#24843Q ID

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AI Governance & Risk ManagementTopic

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A Data backup failure ✔ ✖
B Network slowdown ✔ ✖
C Gradual degradation in model performance ✔ ✖
D Hardware overheating ✔ ✖

Correct Answer: Option C

Explanation

The correct answer is: Gradual degradation in model performance

Explanation:

Model drift happens when an AI model's performance declines over time because the real-world data it receives changes compared to the data it was trained on. This can reduce accuracy and reliability, which is why continuous monitoring is important-highlighted in frameworks like the NIST AI Risk Management Framework.

Why not the others?

❌ Data backup failure → Storage issue, not related to model behavior
❌ Network slowdown → Infrastructure issue, not AI performance
❌ Hardware overheating → Physical system issue, not model drift

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