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What role does explainability play in mitigating bias?
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Answer / Satendra
Explainability is crucial in mitigating bias because it allows humans to understand how an AI system arrives at its decisions. This transparency helps identify any biases that may be present within the system and correct them, ensuring that the AI's outputs are fair and unbiased. Explainable AI can also help build trust with users, as they will have a better understanding of the factors influencing the AI's behavior.
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