Exploring the use of artificial intelligence in the promotion of sexual health: a cross-sectional assessment
BackgroundArtificial Intelligence (AI) is an emerging approach in addressing sexual health including HIV and other sexually transmitted infections (STIs). The aim of this study was to explore facilitators and barriers of AI with a focus on underserved populations who are disproportionately impacted by sexual health disparities.MethodsIn 2025, individuals presenting to a safety-net sexual health clinic were asked to take part in a short, one-time anonymous survey to assess the acceptability of AI-based technology in sexual health promotion. Multiple linear regression analyses were conducted to examine the association between demographic factors and the preference for AI-based versus clinic-based counseling.ResultsOf 100 individuals who participated in this study, 17% were African American/Black, and 11% Hispanic/Latino. The majority self-identified as LGBTQ+ (84%) and reported that they had previously used AI (67%) such as ChatGPT, Google Bard, and/or Fandango for topics related to health information, school, or customer service. Fifteen percent of people reported using AI-technology an average of once a month, 14% once a week, and 11% daily. Demographic variables were not significantly associated with preference for sexual health promotion by AI versus clinic-based counseling (<i>p</i> = 0.21). However, 56% reported distrust regarding sharing personal information with AI technology.ConclusionsMany individuals are willing to consider AI technology use for sexual health promotion. However, issues related to trust and security should be addressed to optimize uptake.
Authors
- Amanda Maguire-Wilkerson (ORCID: https://orcid.org/0009-0009-7653-3069)
- Hannah Parent
- J Tao
- Philip A. Chan
Institutions
- John Brown University (US)
Publication Details
- Journal
- International Journal of STD & AIDS
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1177/09564624251411095
- Primary Topic
- Sexual function and dysfunction studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00