Question 1 of 30
A sophisticated AI-powered logistics optimization system, deployed by a global shipping company, has been operating successfully for eighteen months. Recently, the system has begun to exhibit subtle, emergent behaviors in its route planning, leading to minor but consistent increases in delivery times for certain less-trafficked routes. These deviations were not predicted during the initial risk assessment or subsequent reviews. The AI Risk Management Lead Manager must decide on the most effective course of action to address this evolving risk landscape. Which of the following approaches best aligns with the principles of ISO/IEC 23894:2023 for managing AI risks in the operational phase?
Initiate a comprehensive review of the AI system's operational logs and performance metrics to identify the root causes of the emergent behavior, update the AI risk register with newly identified risks and their potential impacts, and revise the risk treatment plan accordingly.
Immediately revert the AI system to its previous stable version, assuming the emergent behavior indicates a fundamental flaw that cannot be managed through incremental adjustments.
Conduct a qualitative assessment of the potential impact of these deviations on customer satisfaction and operational efficiency, without altering the existing risk management documentation.
Focus solely on retraining the AI model with a larger dataset, believing that additional data will naturally correct the emergent behaviors without requiring a formal risk management process update.

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