Psychiatric services (Washington, D.C.) · 2026
College Students' Trust in Generative AI for Mental Health.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Liu Cindy H, Yip Tiffany
Аннотация
OBJECTIVE: This study aimed to examine college students' trust in generative artificial intelligence (AI) for mental health information and decisions.
METHODS: Among 926 undergraduates at two institutions in the 2024-2025 Healthy Minds Study, demographic and clinical correlates of dichotomized trust ratings were examined.
RESULTS: Overall, 31% trusted AI for mental health information, and 13% trusted AI for mental health decisions. Severe depression, anxiety, and therapy history were not significantly associated with trust. Students with (vs. without) a lifetime psychiatric diagnosis trusted AI less for information (28% vs. 34%). Lesbian, gay, bisexual, and queer (LGBQ; vs. non-LGBQ) students trusted AI less for information (21% vs. 38%) and decisions (7% vs. 17%). International (vs. domestic) students trusted AI more for information (52% vs. 29%), and Asian (vs. White) students trusted AI more for decisions (17% vs. 11%).
CONCLUSIONS: Trust varied by identity but not by most clinical characteristics. Clinicians should ask patients about AI use.
METHODS: Among 926 undergraduates at two institutions in the 2024-2025 Healthy Minds Study, demographic and clinical correlates of dichotomized trust ratings were examined.
RESULTS: Overall, 31% trusted AI for mental health information, and 13% trusted AI for mental health decisions. Severe depression, anxiety, and therapy history were not significantly associated with trust. Students with (vs. without) a lifetime psychiatric diagnosis trusted AI less for information (28% vs. 34%). Lesbian, gay, bisexual, and queer (LGBQ; vs. non-LGBQ) students trusted AI less for information (21% vs. 38%) and decisions (7% vs. 17%). International (vs. domestic) students trusted AI more for information (52% vs. 29%), and Asian (vs. White) students trusted AI more for decisions (17% vs. 11%).
CONCLUSIONS: Trust varied by identity but not by most clinical characteristics. Clinicians should ask patients about AI use.