Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study.

Journal: JMIR infodemiology
Published Date:

Abstract

BACKGROUND: The rapid emergence of artificial intelligence-based large language models (LLMs) in 2022 has initiated extensive discussions within the academic community. While proponents highlight LLMs' potential to improve writing and analytical tasks, critics caution against the ethical and cultural implications of widespread reliance on these models. Existing literature has explored various aspects of LLMs, including their integration, performance, and utility, yet there is a gap in understanding the nature of these discussions and how public perception contrasts with expert opinion in the field of public health.

Authors

  • Patrick Baxter
    Schar School of Policy and Government, George Mason University, Fairfax, USA.
  • Meng-Hao Li
    Schar School of Policy and Government, George Mason University, Fairfax, USA.
  • Jiaxin Wei
    Schar School of Policy and Government, George Mason University, Fairfax, USA.
  • Naoru Koizumi
    Schar School of Policy and Government, George Mason University, Fairfax, USA.