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XAI-Explainable artificial intelligence

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

Abstract

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 Mathematics, Computer Science & Engineering > Computer Science
Date Deposited: 06 Jan 2020 11:12
URI: https://openaccess.city.ac.uk/id/eprint/23405
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