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Explainable AI focuses on creating artificial intelligence models and algorithms whose operations and decision-making processes are transparent, understandable, and interpretable by human beings. It emphasizes the importance of conveying information about how and why AI systems make certain choices, fostering trust, ensuring ethical use, and facilitating effective collaboration between humans and machines. In this context, it is closely connected to Technology, Artificial Intelligence, Artificial Intelligence Algorithms, and AI Ethics, as it explores techniques for developing more interpretable models while addressing ethical concerns surrounding AI systems.