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Explainable artificial intelligence encompasses methods and design approaches aimed at making the decisions, decision-making processes, and behavioral patterns produced by artificial intelligence and machine learning systems understandable and justifiable to humans. The emergence of this field has accelerated significantly due to the widespread adoption of high-accuracy models such as deep learning, whose internal workings remain opaque. The need for explainability arises from the recognition th