Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist

Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj +12 more
11/2/2023
cs.LGcs.AIcs.CY

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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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Cite this paper

@article{ning2023generative,
  title  = {Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist},
  author = {Yilin Ning and Salinelat Teixayavong and Yuqing Shang and Julian Savulescu and Vaishaanth Nagaraj and Di Miao and Mayli Mertens and Daniel Shu Wei Ting and Jasmine Chiat Ling Ong and Mingxuan Liu and Jiuwen Cao and Michael Dunn and Roger Vaughan and Marcus Eng Hock Ong and Joseph Jao-Yiu Sung and Eric J Topol and Nan Liu},
  year   = {2023},
  eprint = {2311.02107},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.02107v2}
}

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