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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

A paper on explainable artificial intelligence concepts, taxonomies, opportunities, and challenges.

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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

By Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-LópezInformation Fusion
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The authors present a comprehensive review of explainable artificial intelligence (XAI) concepts, including taxonomies and challenges. They discuss the importance of XAI in ensuring transparency and accountability in AI systems.

The paper also highlights opportunities for responsible AI development and deployment.

Abstract

The authors present a comprehensive review of explainable artificial intelligence (XAI) concepts, including taxonomies and challenges. They discuss the importance of XAI in ensuring transparency and accountability in AI systems. The paper also highlights opportunities for responsible AI development and deployment.

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explainable aiartificial intelligencexai conceptstaxonomies and challengesresponsible ai developmentAI AgentsOntology & TaxonomySemantic InteroperabilityContent Engineering
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI | Aramai