Mousavi, M.R. orcid.org/0000-0002-4869-6794, Cavalcanti, A., Fisher, M. orcid.org/0000-0002-0875-3862 et al. (8 more authors) (Cover date: February 2023) Trustworthy Autonomous Systems Through Verifiability. Computer, 56 (2). pp. 40-47. ISSN 0018-9162
Abstract
Autonomous systems have the promise to address many of our societal challenges in a variety of areas. To realize this potential, these systems need to be trustworthy. We describe research carried out by a U.K. consortium to address a central issue in establishing trustworthiness: verifiability.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/V026801/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Nov 2023 12:09 |
Last Modified: | 08 Nov 2023 11:04 |
Published Version: | https://ieeexplore.ieee.org/document/10042118 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/mc.2022.3192206 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203138 |
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