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.

This area seems both promising and full of open questions. For example:

How can we ensure ethical and safe data use when dealing with such sensitive signals?

What kinds of AI models (e.g., passive sensing, language modeling) might truly help in prevention — rather than just diagnosis?

Where’s the line between useful nudging and intrusive intervention?

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?

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.

Thanks for taking the time.