请问HN：人工智能如何能够负责任地支持预防性心理健康护理？
我一直在探索人工智能如何应用于预防心理健康护理——不是为了取代人类支持，而是帮助检测早期风险因素、个性化指导，并在问题升级之前提供可扩展的支持。
这个领域似乎既充满希望又充满未解之谜。例如：
我们如何确保在处理如此敏感的信息时，数据的使用是伦理和安全的？
哪些类型的人工智能模型（例如，被动感知、语言建模）可能真正有助于预防，而不仅仅是诊断？
在有用的提示和侵入性干预之间的界限在哪里？
我特别感兴趣的是，其他人如何看待创新与责任之间的平衡。你是否见过一些研究、工具或框架，似乎在这方面做得很好？
我还为美国参与者准备了一份简短的（1分钟）调查问卷——链接在第一条评论中——但我更希望听到你们对人工智能、伦理和心理健康交集的看法和经验。
感谢你抽出时间。
查看原文
I’ve been exploring how artificial intelligence could be applied to preventive mental health care — not to replace human support, but to help detect early risk factors, personalize guidance, and provide scalable support before problems escalate.<p>This area seems both promising and full of open questions. For example:<p>How can we ensure ethical and safe data use when dealing with such sensitive signals?<p>What kinds of AI models (e.g., passive sensing, language modeling) might truly help in prevention — rather than just diagnosis?<p>Where’s the line between useful nudging and intrusive intervention?<p>I’m particularly interested in how others see the balance between innovation and responsibility here. Have you seen research, tools, or frameworks that seem to get it right?<p>I’ve also put together a short (1-minute) survey for US participants — link in the first comment — but mainly I’d love to hear your thoughts and experiences on this intersection of AI, ethics, and mental health.<p>Thanks for taking the time.