KevinMD October 28, 2025
Ronke Lawal

As a founder developing AI systems for mental health support, I have wrestled with a fundamental question: How do we use AI to expand access while maintaining patient-provider trust? Building an AI Mental Health Copilot has shown me that the ethical challenges are as complex as the technical ones, and far more consequential. The mental health crisis demands innovation. AI copilots offer scalable, always-available support to bridge care gaps caused by provider shortages. Yet, deploying these systems forces us to confront uncomfortable truths about consent, boundaries, bias, and the nature of therapy itself.

Lesson 1: Consent must be continuous, not just initial

Traditional informed consent is inadequate for AI-assisted care. Patients deserve ongoing transparency: knowing when responses trigger alerts, when...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Mental Health, Provider, Technology
AI-enabled clinical data abstraction: a nurse’s perspective
Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents
OpenAI’s latest product lets you vibe code science
WISeR in 2026: Legal, Compliance, and AI Challenges That Could Reshape Prior Authorization for Skin Substitutes
Dario Amodei warns AI may cause ‘unusually painful’ disruption to jobs

Share Article