Clinicians risk becoming 'liability sinks' for artificial intelligence

Metadata

Item Type:	Article
Authors/Creators:	Lawton, Tom Morgan, Phillip https://orcid.org/0000-0002-8797-4216 Porter, Zoe (zlmp500@york.ac.uk) Hickey, Shireen Cunningham, Alice Hughes, Nathan (nathan.hughes@york.ac.uk) Iacovides, Ioanna https://orcid.org/0000-0001-9674-8440 Jia, Yan (yan.jia@york.ac.uk) Sharma, Vishal Habli, Ibrahim https://orcid.org/0000-0003-2736-8238
Copyright, Publisher and Additional Information:	© 2024 The Author(s).
Dates:	Published: 13 March 2024
Institution:	The University of York
Academic Units:	The University of York > Faculty of Social Sciences (York) > The York Law School The University of York > Faculty of Sciences (York) > Computer Science (York)
Funding Information:	Funder Grant number THE MEDICAL PROTECTION SOCIETY LIMITED (MPS) Shared CAIRE
Depositing User:	Pure (York)
Date Deposited:	23 Apr 2024 08:30
Last Modified:	20 Sep 2025 02:12
Published Version:	https://doi.org/10.1016/j.fhj.2024.100007
Status:	Published
Refereed:	Yes
Identification Number:	10.1016/j.fhj.2024.100007
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:211773

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