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Explainable Artificial Intelligence (XAI) is a set of methods and techniques aimed at making the results and decisions produced by artificial intelligence (AI) systems understandable and interpretable by humans. In the case of complex algorithms such as deep learning, the decision-making processes of AI systems are often described as a "black box". When these systems receive an input and produce an output, they do not clearly show an external observer how they arrived at that conclusion. XAI aim