"What Did You Say, ChatGPT?" The Use of AI in Black Women's HIV Self-Education: An Inductive Qualitative Data Analysis.
Rasheeta D ChandlerSheena WarnerGloria Aidoo-FrimpongJessica WellsPublished in: The Journal of the Association of Nurses in AIDS Care : JANAC (2024)
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.
Keyphrases
- public health
- healthcare
- artificial intelligence
- antiretroviral therapy
- polycystic ovary syndrome
- hiv infected
- hiv positive
- hiv testing
- men who have sex with men
- data analysis
- machine learning
- hiv aids
- type diabetes
- pregnancy outcomes
- emergency department
- high throughput
- deep learning
- mental health
- climate change
- social media
- drug induced