Objective: Youth experiencing homelessness are at risk for HIV and need interventions to prevent risky sex behaviors. We tested the feasibility of using artificial intelligence (AI) to select peer change agents (PCAs) to deliver HIV prevention messages among youth experiencing homelessness. Method: We used a pretest–posttest quasi-experimental design. In the AI condition (n = 62), 11 PCAs were selected via AI algorithm; in the popularity comparison (n = 55), 11 PCAs were selected 6 months later based on maximum degree centrality (most ties to others in the network). All PCAs were trained to promote HIV testing and condom use among their peers. Participants were clients at a drop-in center in Los Angeles, CA. HIV testing and condom use were assessed via a self-administered, computer-based survey at baseline (n = 117), 1 month (n = 86, 74%), and 3 months (n = 70, 60%). Results: At 3 months, rates of HIV testing increased among participants in the AI condition relative to the comparison group (18.8% vs. 8.1%), as did condom use during anal sex (12.1% vs. 3.3%) and vaginal sex (29.2% vs. 23.7%). Conclusions: AI-enhanced PCA intervention is a feasible method for engaging youth experiencing homelessness in HIV prevention.

中文翻译：

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试行使用人工智能来增强对无家可归青年的艾滋病毒预防干预

目的：无家可归的青年有感染艾滋病毒的危险，需要采取干预措施来预防危险的性行为。我们测试了使用人工智能（AI）选择同伴变革代理（PCA）在经历无家可归的年轻人中传递HIV预防信息的可行性。方法：我们使用了前测-后测的准实验设计。在AI条件下（n = 62），通过AI算法选择了11个PCA。在人气比较中（n = 55），六个月后根据最大程度的中心性（与网络中其他人的关系最为密切）选择了11个PCA。所有PCA都经过培训，可以在同龄人中促进HIV检测和使用避孕套。参加者是位于加利福尼亚洛杉矶的一个投币式中心的客户。通过一项自我管理的，基于计算机的调查，在基线（n = 117），1个月（n = 86，74％）下评估了艾滋病毒的检测和避孕套的使用，和3个月（n = 70，60％）。结果：在3个月时，与对照组相比，在AI病情参与者中，HIV检测率有所提高（分别为18.8％和8.1％），在肛交和阴道性交中使用避孕套的比例也分别为12.1％和3.3％。 29.2％和23.7％）。结论：AI增强的PCA干预是一种使无家可归的年轻人参与HIV预防的可行方法。