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Explainable AI (XAI) provides insights into the decision-making processes of AI models, allowing users to understand how predictions are generated and why specific actions are recommended. By providing explanations, visualizations, or justifications for AI decisions, XAI enhances transparency, accountability, and user trust in AI systems, particularly in sensitive domains such as healthcare, finance, and criminal justice.