Reading Turchioe Meghan, Harkins Sarah, Desai Pooja, Kumar Shiveen, Kim Jessica, Hermann Alison, Joly Rochelle, Zhang Yiye, Pathak Jyotishman, Benda Natalie C
Columbia University School of Nursing, New York, New York, USA.
Department of Biomedical Informatics, Columbia University, New York, New York, USA.
JAMIA Open. 2023 Jul 8;6(3):ooad048. doi: 10.1093/jamiaopen/ooad048. eCollection 2023 Oct.
This study aimed to evaluate women's attitudes towards artificial intelligence (AI)-based technologies used in mental health care. We conducted a cross-sectional, online survey of U.S. adults reporting female sex at birth focused on bioethical considerations for AI-based technologies in mental healthcare, stratifying by previous pregnancy. Survey respondents ( = 258) were open to AI-based technologies in mental healthcare but concerned about medical harm and inappropriate data sharing. They held clinicians, developers, healthcare systems, and the government responsible for harm. Most reported it was "very important" for them to understand AI output. More previously pregnant respondents reported being told AI played a small role in mental healthcare was "very important" versus those not previously pregnant ( = .03). We conclude that protections against harm, transparency around data use, preservation of the patient-clinician relationship, and patient comprehension of AI predictions may facilitate trust in AI-based technologies for mental healthcare among women.
本研究旨在评估女性对心理健康护理中使用的人工智能（AI）技术的态度。我们对出生时报告为女性性别的美国成年人进行了一项横断面在线调查，重点关注心理健康护理中基于AI技术的生物伦理考量，并按既往妊娠情况进行分层。调查受访者（n = 258）对心理健康护理中基于AI的技术持开放态度，但担心医疗伤害和不适当的数据共享。他们认为临床医生、开发者、医疗保健系统和政府应对伤害负责。大多数人报告说，对他们来说理解AI输出“非常重要”。与未怀孕的受访者相比，更多有过妊娠经历的受访者报告说被告知AI在心理健康护理中发挥小作用“非常重要”（p = .03）。我们得出结论，防范伤害、数据使用的透明度、患者 - 临床医生关系的维护以及患者对AI预测的理解，可能有助于女性对心理健康护理中基于AI的技术产生信任。
