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

Rasheeta D. Chandler, Sheena Warner, Gloria Aidoo-Frimpong, Jessica Wells
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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.
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"你说什么,ChatGPT?人工智能在黑人女性艾滋病自我教育中的应用:归纳式定性数据分析
人工智能聊天机器人(如 ChatGPT)的出现为公共卫生自我教育带来了独特的机遇和挑战。本研究考察了 ChatGPT 在黑人女性性健康公共教育中的模拟使用情况,特别是在 HIV 预防和/或 HIV PrEP 使用方面。指导本研究的研究问题如下:(a) ChatGPT 提供的有关 HIV 预防和 HIV PrEP 的信息是否因所陈述的种族而有所不同? (b) 这个相对较新的平台如何为黑人妇女的公共健康教育提供信息,使她们了解自己的性健康行为、诊断和治疗?在解决这些问题的过程中,本研究还发现了 ChatGPT 在回应用户时的语气因种族而存在明显差异。这项研究描述了宝贵的见解,可以为医疗保健专业人员、教育工作者和政策制定者提供信息,最终推动黑人女性的性健康平等事业,并强调了人工智能在公共卫生教育领域的范式转换潜力。
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