Explanation:
C is correct because transparency and accountability are fundamental principles in AI risk management. By providing accessible explanations of the AI system's decision-making process (explainability), stakeholders and users can understand how outcomes such as credit scores are determined. Furthermore, establishing mechanisms for accountable AI governance ensures that someone is responsible for the system's outcomes, mitigating risks of bias and fostering trust.
A is incorrect because simply citing the algorithm's complexity (the "black box" problem) without making an effort to explain the outcomes violates the transparency principles of the AI Risk Management Framework.
B is incorrect because temporarily restricting the use of the system does not address the underlying issues of transparency and accountability, and merely delays dealing with the stakeholders' concerns.
D is incorrect because improved accuracy does not equate to transparency. An accurate system could still be biased or inscrutable, leaving stakeholder concerns about demographic fairness unresolved.
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Q.5595 As the head of AI development at SecureFinTech, a company that provides AI-driven financial solutions, you are overseeing the launch of a new AI system designed to automate credit scoring. The system uses complex algorithms to analyze applicants' financial histories and predict their creditworthiness. After deployment, there is public concern about the decision-making process of the AI system, especially regarding loan rejections for certain demographics. Stakeholders are asking for more clarity on how the AI system arrives at its decisions. In line with the principles of accountability and transparency in the AI Risk Management Framework, what should be the most appropriate response to address these concerns?
A
Continue with the current operations of the AI system but issue an advisory to stakeholders to the effect that the algorithm’s complexity makes it difficult to provide detailed explanations for its decisions.
B
Temporarily restrict the use of the AI system until public concerns subside.
C
Enhance the AI system's transparency by providing accessible explanations of its decision-making process and ensure mechanisms are in place for accountable AI governance.
D
Focus on the technical refinement of the AI system, as improved accuracy will naturally resolve any concerns about transparency and accountability.