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

Alejandro Barredo Arrieta; Natalia Díaz-Rodríguez; Javier Del Ser; Adrien Bennetot; Siham Tabik; Alberto Barbado; Salvador García; Sergio Gil-López · Information Fusion · 2019

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Author / responsible party
Alejandro Barredo Arrieta; Natalia Díaz-Rodríguez; Javier Del Ser; Adrien Bennetot; Siham Tabik; Alberto Barbado; Salvador García; Sergio Gil-López
Publisher
Information Fusion
Year
2019
Language
English

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APA 7

Arrieta, A. B, Díaz-Rodríguez, N, Ser, J. D, Bennetot, A, Tabik, S, Barbado, A, García, S, & Gil-López, S. (2019). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. https://doi.org/10.1016/j.inffus.2019.12.012

MLA

Arrieta, Alejandro Barredo, et al. "Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI." 2019. https://doi.org/10.1016/j.inffus.2019.12.012.

Chicago

Arrieta, Alejandro Barredo, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, and Sergio Gil-López. 2019. "Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.". https://doi.org/10.1016/j.inffus.2019.12.012.

Harvard

Arrieta, A. B. et al. 2019, Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI, Information Fusion, available at: https://doi.org/10.1016/j.inffus.2019.12.012 [Accessed 8 Aug. 2026].

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Title
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Author / contributors
Alejandro Barredo Arrieta; Natalia Díaz-Rodríguez; Javier Del Ser; Adrien Bennetot; Siham Tabik; Alberto Barbado; Salvador García; Sergio Gil-López
Publisher
Information Fusion
Publication year
2019
Language
English

Subjects

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Computer science; Artificial intelligence; Taxonomy (biology); Field (mathematics); Software deployment; Data science; Deep learning; Machine learning; Management science; Software engineering; Engineering; Botany
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