Which of the following would be the GREATEST concern for a risk practitioner reviewing the testing and validation of an AI-driven technical support system?
Model drift can make an AI system’s production behavior diverge from the assumptions and performance established during testing, leading to inaccurate or unreliable outputs. AI validation must establish continued validity and reliability, and production monitoring is necessary to detect drift and intervene when performance changes.
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