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Mental Health Meets AI

Scott Wallace, PHD

Where clinical judgment and AI systems collide, and decisions have consequences.

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Issues59Founded8 months agoLast Issue2 days ago
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Latest Issues

Mental Health AI Safety for Adolescents Cannot Be Tested One Reply at a Time

I have become increasingly uneasy about how we test mental health AI, especially when the user is an adolescent.

Most safety testing still looks at one exchange at a time. Give the system a difficult prompt, see what it says, decide whethe...

2 days ago
2

Mental Health AI Should Look For Change, Not Just Symptoms

Most mental health AI is being designed around the moment when someone finally asks for help.

I think that is too late.

Before people say “I think I’m depressed” or “I need help with my anxiety”, something has often been changing for a wh...

6 days ago
4

Why Are We Modelling Mental Health AI on Human Therapy?

Psychotherapy has given us decades of knowledge about how people change. We should absolutely use it. But somewhere along the way we started treating the therapist, the therapy session and the therapeutic relationship as the blueprint for w...

8 days ago
1
3

If You Build Mental Health AI, Clinical Safety Is Now Part of Product Compliance

I have spent much of my career building and evaluating digital mental health systems. For most of that time, regulation in this space was fragmented, slow-moving, and largely reactive. Companies could ship first, interpret obligations later...

12 days ago
1

The Next Mental Health AI May Notice Before You Ask

This may be the future of mental health AI. The system may notice that something is changing before the person does, and reach out before they ask for help.

Imagine someone with recurrent depression. Their sleep starts to deteriorate, they...

13 days ago
4
2

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  • Scott Wallace, PHD

    Clinical AI strategist and digital mental health pioneer with nearly four decades across psychology and technology. I advise founders and health systems on product strategy, safety and governance, translating clinical risk into technical reality.

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