Question 1 of 30
InnovAI, a company developing AI-powered diagnostic tools for healthcare, is facing increasing pressure from regulatory bodies and patient advocacy groups regarding the transparency and explainability of its AI systems. Stakeholders are demanding a clearer understanding of how the AI arrives at its diagnostic conclusions, particularly in cases where the AI\'s recommendations differ significantly from those of human clinicians. In the context of ISO 42001:2023, which of the following strategies would BEST enable InnovAI to enhance the transparency and explainability of its AI diagnostic tools, fostering trust among stakeholders and ensuring responsible AI implementation in the healthcare sector?
Implement explainable AI (XAI) techniques to provide insights into the AI system's decision-making process, develop user-friendly interfaces that visualize the key factors influencing the AI's diagnoses, and establish a clear communication channel for clinicians to seek clarification on the AI's reasoning.
Provide comprehensive training to clinicians on how to interpret and utilize the AI system's outputs, emphasizing the AI's superior accuracy and efficiency compared to traditional diagnostic methods, without disclosing the underlying algorithms or data used by the AI.
Limit access to the AI system's internal workings to a select group of technical experts within InnovAI, and publish high-level summaries of the AI's performance metrics and validation results in scientific journals to demonstrate its reliability and accuracy.
Implement a disclaimer stating that the AI system's diagnoses are based on complex algorithms and should be considered as supplementary information to be used in conjunction with clinical judgment, without providing further explanation of the AI's reasoning.

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