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

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2021 The Authors.
Dates:
  • Published (online): 16 August 2021
  • Accepted: 1 March 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: 16 Oct 2024 17:31
Published Version: https://doi.org/10.1098/rsta.2020.0363
Status: Published online
Refereed: Yes
Identification Number: 10.1098/rsta.2020.0363
Open Archives Initiative ID (OAI ID):

Download

Published Version

Filename: rsta.2020.0363.pdf

Description: rsta.2020.0363

Licence: CC-BY 2.5

CLICK TO DOWNLOAD [thumbnail of rsta.2020.0363]

Export

Statistics


CORE (COnnecting REpositories)