Conference: Evaluating AI Safety for Suicide Prevention

Evaluating AI Safety for Suicide Prevention Conference: Get Updates!

Date: April 30th, 2027, 8:00AM PST - 6:00PM PST

Hosted at OpenAI in San Francisco, CA

This event will bring together mental health professionals, AI industry leaders, researchers, and others to connect with each other and explore themes related to AI and suicide prevention. 

Interested in joining us? Sign up using this form to receive email updates. We’ll share event details as they’re finalized and let you know when registration opens. 

Questions? Reach out to Hilary Aster, Executive Director of AFSP's Greater San Francisco Bay Area Chapter, at [email protected]. 

Featured Speaker Profiles

The keynote address will be delivered by John Torous, MD, MBI, Director of Digital Psychiatry at Beth Israel Deaconess Medical Center and Associate Professor of Psychiatry at Harvard Medical School, with training in electrical engineering and computer science (UC Berkeley), medicine (UC San Diego), and clinical informatics (Harvard). His research focuses on how smartphones, wearables, and artificial intelligence can be used in mental health care safely and with the same standards of evidence applied to any other treatment. He led the creation of the American Psychiatric Association’s app evaluation framework, co-develops patient-centered AI safety benchmarks with the National Alliance on Mental Illness through the MindBench.ai platform, and testified before the U.S. Congress in November 2025 on artificial intelligence and mental health. He has published more than 500 peer-reviewed articles, serves as Editor-in-Chief of JMIR Mental Health and web editor for JAMA Psychiatry, and directs the open-source mindLAMP platform and mindapps.org database. Learn more about John Torous: JohnTorousMD.com

Our featured speakers and panelists include Leslie Adams, PhD, MPH, an Assistant Professor of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and Director of the AMPLIFY Lab (Adaptive Mental Health and Prevention: Leveraging Innovation for Youth). Her research focuses on understanding and preventing suicide among adolescents and young adults, particularly those from historically marginalized communities. Using mixed methods, real-time data collection, and community-engaged approaches, Dr. Adams investigates the social, structural, and interpersonal factors that contribute to suicide risk and inform opportunities for early intervention. Her current work explores the use of artificial intelligence and digital mental health technologies to develop culturally responsive suicide prevention interventions that identify risk and deliver timely support to young people. Learn more about the AMPLIFY Lab: amplifylab.stanford.edu