Generative Artificial Intelligence in Healthcare: Ethical Considerations
and Assessment Checklist
- URL: http://arxiv.org/abs/2311.02107v2
- Date: Fri, 23 Feb 2024 14:50:04 GMT
- Title: Generative Artificial Intelligence in Healthcare: Ethical Considerations
and Assessment Checklist
- Authors: Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu,
Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine
Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus
Eng Hock Ong, Joseph Jao-Yiu Sung, Eric J Topol, Nan Liu
- Abstract summary: We conduct a scoping review of ethical discussions on generative artificial intelligence (GenAI) in healthcare.
We propose to reduce the gaps by developing a checklist for comprehensive assessment and transparent documentation of ethical discussions in GenAI research.
- Score: 10.980912140648648
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
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