City Research Online - XAI-Explainable artificial intelligence

XAI-Explainable artificial intelligence

Gunning, D., Stefik, M., Choi, J. , Miller, T., Stumpf, S. ORCID: 0000-0001-6482-1973 & Yang, G-Z. (2019). XAI-Explainable artificial intelligence. Science Robotics, 4(37), eaay7120. doi: 10.1126/scirobotics.aay7120

Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.

Publication Type:	Article
Additional Information:	This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science Robotics on 4 (37) 18 December 2019, DOI: 10.1126/scirobotics.aay7120.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science

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Creators:	Gunning, D. Stefik, M. Choi, J. Miller, T. Stumpf, S. ORCID: 0000-0001-6482-1973 Yang, G-Z.
Status:	Published
Refereed:	Yes
Journal or Publication Title:	Science Robotics
Publisher:	American Association for the Advancement of Science
ISSN:	2470-9476
URI:	https://openaccess.city.ac.uk/id/eprint/23405
Date available in CRO:	06 Jan 2020 11:12
Date deposited:	6 January 2020
Dates:	Date Event 18 December 2019 Published 20 November 2019 Accepted