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 |
| URI: | https://openaccess.city.ac.uk/id/eprint/23405 |
|
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