Evaluating Artificial Intelligence Responses to Public Health Questions

JAMA Netw Open. 2023 Jun 1;6(6):e2317517. doi: 10.1001/jamanetworkopen.2023.17517.

John W Ayers^{1

2}, Zechariah Zhu¹, Adam Poliak³, Eric C Leas^{1

4}, Mark Dredze⁵, Michael Hogarth^{6

7}, Davey M Smith^{2

7}

¹ Qualcomm Institute, University of California San Diego, La Jolla.
² Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, La Jolla.
³ Department of Computer Science, Bryn Mawr College, Bryn Mawr, Pennsylvania.
⁴ Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla.
⁵ Department of Computer Science, Johns Hopkins University, Baltimore, Maryland.
⁶ Department of Biomedical Informatics, University of California San Diego, La Jolla.
⁷ Altman Clinical Translational Research Institute, University of California San Diego, La Jolla.

No abstract available

Plain language summary

This cross-sectional study analyzes the quality of ChatGPT responses to public health questions.