Mental Health Meets AI
Scott Wallace, PHDWhere clinical judgment and AI systems collide, and decisions have consequences.
| Platform |  | Pricing | Only free issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 64 | Founded | 9 months ago | Last Issue | 8 days ago |
| Active | |||||
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drscottwallace.substack.comLatest Issues
The EAP Is Not Dead. The Old EAP Is.
I spent thirty years working in EAP, and almost every employer or prospect conversation eventually came down to the same demand. “Show us the ROI.”
That was always difficult because much of EAP’s value sits in events that never happen.
An...
Mental Health AI Founders Should Build What Foundation Models Cannot
For nearly four decades, I’ve watched mental health tech companies find some new capability that seems to put them ahead of everyone else. And for a while, maybe it does.
The problem is that AI has made “for a while” much shorter. A featur...
Clinicians Need a Living AI Practice Standard
For nearly four decades, I’ve watched mental health technologies enter clinical practice, usually before our profession has determined what responsible use requires. Now I’m watching generative AI repeat that pattern at greater speed and wi...
Mental Health AI Founders, Will Your Moat Survive What Comes Next?
Each week, I receive multiple requests to pressure-test a new mental health AI idea or product, and I am usually told about many of the same exciting capabilities. The system remembers users, personalises its responses and carries context a...
AI Sounds Like It Cares. It Doesn’t.
AI is becoming remarkably good at making people feel cared for, and that should concern anyone building AI for mental health, not because warmth or empathy are inherently dangerous, but because the experience of being cared for changes huma...
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Authors
The writers behind this newsletter.
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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