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Generative artificial intelligence in healthcare: ethical considerations and assessment checklist

Abstract:
The widespread use of ChatGPT and other emerging technology powered by generative artificial intelligence (GenAI) has drawn much attention to potential ethical issues, especially in high-stakes applications such as healthcare, but ethical discussions are yet to translate into operationalisable solutions. Furthermore, ongoing ethical discussions often neglect other types of GenAI that have been used to synthesise data (e.g., images) for research and practical purposes, which resolved some ethical issues and exposed others. We conduct a scoping review of ethical discussions on GenAI in healthcare to comprehensively analyse gaps in the current research, and further propose to reduce the gaps by developing a checklist for comprehensive assessment and transparent documentation of ethical discussions in GenAI research. The checklist can be readily integrated into the current peer review and publication system to enhance GenAI research, and may be used for ethics-related disclosures for GenAI-powered products, healthcare applications of such products and beyond.
Publication status:
Published
Peer review status:
Not peer reviewed

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Preprint server copy:
10.48550/arXiv.2311.02107

Authors

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Institution:
University of Oxford
Division:
HUMS
Department:
Uehiro Institute
Role:
Author


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Funder identifier:
https://ror.org/019w4f821
Grant:
101107292 ‘PredicGenX’
Programme:
HORIZON-MSCA2022-PF-01-01 Marie Curie Postdoctoral Fellowship
More from this funder
Funder identifier:
https://ror.org/029chgv08
Grant:
WT203132/Z/16/Z


Preprint server:
arXiv
Publication date:
2023-11-02
DOI:


Language:
English
Pubs id:
1569415
Local pid:
pubs:1569415
Source identifiers:
W4388481699
Deposit date:
2026-05-13
ARK identifier:

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