Litcius/Paper detail

“What Did You Say, ChatGPT?” The Use of AI in Black Women's HIV Self-Education: An Inductive Qualitative Data Analysis

Rasheeta Chandler, S C Warner, Gloria Aidoo‐Frimpong, Jessica Wells

2024Journal of the Association of Nurses in AIDS Care10 citationsDOI

Abstract

ABSTRACT: The emergence of widely accessible artificial intelligence (AI) chatbots such as ChatGPT presents unique opportunities and challenges in public health self-education. This study examined simulations with ChatGPT for its use in public education of sexual health of Black women, specifically in HIV prevention and/or HIV PrEP use. The research questions guiding the study are as follows: (a) does the information ChatGPT offers about HIV prevention and HIV PrEP differ based on stated race? and (b) how could this relatively new platform inform public health education of Black women educating themselves about sexual health behaviors, diagnoses, and treatments? In addressing these questions, this study also uncovered notable differences in ChatGPT's tone when responding to users based on race. This study described valuable insights that can inform health care professionals, educators, and policymakers, ultimately advancing the cause of sexual health equity for Black women and underscoring the paradigm-shifting potential of AI in the field of public health education.

Topics & Concepts

Human immunodeficiency virus (HIV)Qualitative researchPsychologyMedicineSociologyFamily medicineSocial scienceHIV/AIDS Research and InterventionsArtificial Intelligence in Healthcare and EducationMobile Health and mHealth Applications
“What Did You Say, ChatGPT?” The Use of AI in Black Women's HIV Self-Education: An Inductive Qualitative Data Analysis | Litcius