Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist

Fuente: arXiv
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Autori principali: Ning, Yilin, Teixayavong, Salinelat, Shang, Yuqing, Savulescu, Julian, Nagaraj, Vaishaanth, Miao, Di, Mertens, Mayli, Ting, Daniel Shu Wei, Ong, Jasmine Chiat Ling, Liu, Mingxuan, Cao, Jiuwen, Dunn, Michael, Vaughan, Roger, Ong, Marcus Eng Hock, Sung, Joseph Jao-Yiu, Topol, Eric J, Liu, Nan
Natura: Preprint
Pubblicazione: 2023
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author Ning, Yilin
Teixayavong, Salinelat
Shang, Yuqing
Savulescu, Julian
Nagaraj, Vaishaanth
Miao, Di
Mertens, Mayli
Ting, Daniel Shu Wei
Ong, Jasmine Chiat Ling
Liu, Mingxuan
Cao, Jiuwen
Dunn, Michael
Vaughan, Roger
Ong, Marcus Eng Hock
Sung, Joseph Jao-Yiu
Topol, Eric J
Liu, Nan
author_facet Ning, Yilin
Teixayavong, Salinelat
Shang, Yuqing
Savulescu, Julian
Nagaraj, Vaishaanth
Miao, Di
Mertens, Mayli
Ting, Daniel Shu Wei
Ong, Jasmine Chiat Ling
Liu, Mingxuan
Cao, Jiuwen
Dunn, Michael
Vaughan, Roger
Ong, Marcus Eng Hock
Sung, Joseph Jao-Yiu
Topol, Eric J
Liu, Nan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2311_02107
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
Ning, Yilin
Teixayavong, Salinelat
Shang, Yuqing
Savulescu, Julian
Nagaraj, Vaishaanth
Miao, Di
Mertens, Mayli
Ting, Daniel Shu Wei
Ong, Jasmine Chiat Ling
Liu, Mingxuan
Cao, Jiuwen
Dunn, Michael
Vaughan, Roger
Ong, Marcus Eng Hock
Sung, Joseph Jao-Yiu
Topol, Eric J
Liu, Nan
Machine Learning
Artificial Intelligence
Computers and Society
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.
title Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
topic Machine Learning
Artificial Intelligence
Computers and Society
url https://arxiv.org/abs/2311.02107