Question 1 of 30
In a healthcare setting, a hospital is implementing an AI system to assist in diagnosing diseases based on patient data. The system uses historical patient records and outcomes to train its algorithms. However, there are concerns regarding accountability, especially in cases where the AI\'s recommendations lead to misdiagnoses. Which of the following approaches best ensures accountability in the deployment of this AI system?
Implementing a robust auditing process that tracks the AI's decision-making process and outcomes, allowing for transparency and accountability in case of errors.
Relying solely on the AI's performance metrics to evaluate its effectiveness without human oversight.
Using a closed system where the AI's algorithms are not disclosed to the medical staff, thereby protecting proprietary information.
Allowing the AI to operate independently without any human intervention to maximize efficiency and speed in diagnosis.

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