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Explainable AI

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Explainable AI

Explainable AI (XAI) refers to methods and techniques used to make the decisions of machine learning models understandable to humans. It aims to shed light on how a model arrives at a particular prediction, identifying the factors that influenced the outcome. This allows users to understand, trust, and effectively manage AI systems.

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