Grow Therapy and Stanford Partner on AI Safety Standards for Mental Health
Grow Therapy has entered a research partnership with Stanford University to develop evidence-based standards for the safe use of artificial intelligence in mental health care, announced in a press release.
The project is led by Dr. Jonathan Chen, Associate Professor of Medicine at Stanford, in collaboration with Stanford Psychiatry. The initial study will assess how leading AI models respond to mental health crises. It will also examine which design methods most effectively minimize harm and ensure appropriate handling of sensitive scenarios.
Stanford researchers will use de-identified clinical cases from Grow Therapy's AI coach, a conversational tool clients use between therapy sessions. A panel of psychiatrists will evaluate how often AI models produce harmful responses, test whether adding a safety review layer reduces risks, and assess other safety mechanisms from a clinical perspective.
Grow Therapy's AI coach includes multiple safety layers, automatic scoring for clinical quality and tone, and human review for flagged interactions. The company aims for the partnership to establish shared benchmarks for AI safety in mental health, drawing on real-world data to complement existing synthetic testing methods.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like AI Policy Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from: AI Safety
More from: Life Sciences
Subscribe to Life AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more