Which of the following is the BEST approach to mitigate the risk of AI model degradation?
A.
Ensuring models are trained on both model-generated and human-generated data
B.
Introducing continuous monitoring to identify adversarial inputs
C.
Increase the use of synthetic data for model training purposes
D.
Implementing periodic human reviews of model outputs and recommendations
The Answer Is:
D
This question includes an explanation.
Explanation:
" Model degradation " (or model decay) happens when a model ' s performance slowly worsens because the real-world environment has changed since its last training. The most effective safeguard is " Periodic human reviews. " Humans can identify " contextual shifts " or " common-sense errors " that automated monitoring might miss. This " Human-in-the-Loop " (HITL) control ensures that the AI’s decisions remain grounded, justifiable, and accurate over time. Relying on model-generated data (Option A) can actually accelerate degradation through a phenomenon known as " Model Collapse, " where the AI begins to learn from its own mistakes.
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