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Explainable Artificial Intelligence (CAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barred Arrival, Natalia DazRodrguezb, Javier Del Era, c, d, Adrien Bennett,

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What is explainable artificial intelligence xai?

Explainable Artificial Intelligence (XAI) refers to artificial intelligence systems and algorithms that can provide explanations for their outputs or decisions in a human-understandable manner.

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To fill out XAI, developers can use techniques such as model documentation, feature importance analysis, and providing contextual information.

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XAI reports should include information about the model's training data, algorithms used, decision-making process, and explanations for specific outputs.

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