Generative AI in Medicine and Public Health: An Overview and Position Paper on Directions for Social Research

12 Pages Posted: 21 Jun 2024

See all articles by Deborah Lupton

Deborah Lupton

University of New South Wales (UNSW) - Faculty of Arts and Social Sciences

Ella Butler

University of New South Wales (UNSW) - Faculty of Arts and Social Sciences

Date Written: June 20, 2024

Abstract

There has been great interest in the potential for generative AI and large language models (LLMs), and ChatGPT in particular, to contribute to the fields of medicine and public health. This position paper provides a brief overview of the literature that has been published on the potential uses and benefits of these tools for medical and public health applications. It discusses how social researchers can contribute to analyses and assessments of these applications, particularly in relation to the lived experiences of those who use them in healthcare settings or at home, including consideration of patients, clinicians and other healthcare workers. The paper also discusses impacts on the workers who train and process the data used for these novel technologies and calls for an expanded perspective that acknowledges the impacts of the development and use of generative AI and LLMs on planetary health.

Keywords: generative AI, Large Language Models, ChatGPT, social research, medicine, public health, healthcare

Suggested Citation

Lupton, Deborah and Butler, Ella, Generative AI in Medicine and Public Health: An Overview and Position Paper on Directions for Social Research (June 20, 2024). Available at SSRN: https://ssrn.com/abstract=4871308 or http://dx.doi.org/10.2139/ssrn.4871308

Deborah Lupton (Contact Author)

University of New South Wales (UNSW) - Faculty of Arts and Social Sciences ( email )

Sydney
Australia

Ella Butler

University of New South Wales (UNSW) - Faculty of Arts and Social Sciences

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