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How can explainability improve decision-making in high-stakes AI applications?
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Answer / Abhai Narain Rai
Explainability can improve decision-making in high-stakes AI applications by providing transparency and understanding of how the AI system arrived at a particular decision. This can help users trust the decisions made by the AI, reducing errors and increasing confidence.
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