Explainable AI (XAI) refers to artificial intelligence models and techniques that produce outputs that are easily understood and interpreted by humans. It contrasts with 'black box' AI, where the reasoning behind a decision is opaque. XAI is important for building trust in AI systems, ensuring fairness and accountability, and enabling users to understand and potentially improve AI decision-making. It is commonly used in critical applications like healthcare, finance, and autonomous vehicles where understanding the rationale behind decisions is essential.
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