Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.

Lancet Digit Health

Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore; Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore; Institute of Data Science, National University of Singapore, Singapore. Electronic address:

Published: November 2024

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Article Abstract

The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging technology that is powered by generative artificial intelligence (GenAI) has drawn attention to the potential ethical issues they can cause, especially in high-stakes applications such as health care, but ethical discussions have not yet been translated into operationalisable solutions. Furthermore, ongoing ethical discussions often neglect other types of GenAI that have been used to synthesise data (eg, images) for research and practical purposes, which resolve some ethical issues and expose others. We did a scoping review of the ethical discussions on GenAI in health care to comprehensively analyse gaps in the research. To reduce the gaps, we have developed a checklist for comprehensive assessment and evaluation of ethical discussions in GenAI research. The checklist can be integrated into peer review and publication systems to enhance GenAI research and might be useful for ethics-related disclosures for GenAI-powered products and health-care applications of such products and beyond.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542614PMC
http://dx.doi.org/10.1016/S2589-7500(24)00143-2DOI Listing

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