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Question 1 of 10
Imagine \"InnovAI,\" a cutting-edge tech company, is developing an AI-powered diagnostic tool for early detection of cardiac diseases. The tool is trained on a massive dataset comprising patient records from various hospitals globally. During a routine audit against ISO 42001:2023 standards, several concerns are raised by the newly formed AI Governance Committee, led by Dr. Anya Sharma. Specifically, the committee notes that a significant portion of the training data originates from a region with limited data protection laws, and there is a noticeable underrepresentation of data from certain ethnic groups known to have distinct cardiac profiles. Moreover, the data collection process lacks explicit consent from all patients, raising ethical questions. Considering the principles of ISO 42001:2023, which of the following actions should InnovAI prioritize to address these concerns and ensure compliance?
Implement a comprehensive data governance framework that includes ethical data sourcing protocols, rigorous data quality assessment, and enhanced data privacy measures, including anonymization techniques and obtaining informed consent, while also actively seeking to diversify the training dataset to address the underrepresentation of specific ethnic groups.
Continue using the existing dataset to expedite the development process, while implementing a post-deployment bias detection algorithm to mitigate any potential discriminatory outcomes, and negotiate with the data providers to retroactively obtain consent from a representative sample of patients.
Limit the tool's application to the region from which the majority of the data originates, ensuring compliance with local data protection laws, and focus on improving the algorithm's accuracy within that specific demographic, while temporarily suspending further data collection efforts.
Conduct a cost-benefit analysis to determine the financial impact of addressing the data quality and ethical concerns, and prioritize the most cost-effective solutions, such as purchasing synthetic data to augment the existing dataset and implementing a basic data anonymization process.

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