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How does Explainable AI aid in fairness and bias detection in machine learning models?
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Answer / Gurav Kumar
Explainable AI plays a crucial role in detecting and mitigating biases and ensuring fairness in machine learning models. By providing interpretability into the decision-making processes of these models, XAI allows researchers to identify patterns or features that might lead to unfair or biased outcomes. This transparency enables data scientists to adjust model parameters, select unbiased feature sets, or modify algorithms to eliminate or reduce bias and promote fairness.
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