Artificial intelligence explainability:the technical and ethical dimensions

McDermid, John Alexander orcid.org/0000-0003-4745-4272, Jia, Yan, Porter, Zoe et al. (1 more author) (2021) Artificial intelligence explainability:the technical and ethical dimensions. Philosophical Transactions: Mathematical, Physical and Engineering Sciences. 20200363. ISSN: 1471-2962

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Item Type: Article
Authors/Creators:
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© 2021 The Authors.
Dates:
  • Accepted: 1 March 2021
  • Published (online): 16 August 2021
  • Published: 4 October 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Arts and Humanities (York) > Philosophy (York)
Depositing User: Pure (York)
Date Deposited: 27 Apr 2021 10:30
Last Modified: 17 Sep 2025 02:29
Published Version: https://doi.org/10.1098/rsta.2020.0363
Status: Published
Refereed: Yes
Identification Number: 10.1098/rsta.2020.0363
Open Archives Initiative ID (OAI ID):

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