A Distinguished Lecture on:

Adolescents & Generative AI Chatbots: Navigating Responsibility in Mental Health


Abstract:

Adolescents worldwide turn to general-purpose generative AI chatbots for mental health support, despite these tools not having been designed for youth well-being. Industry, policy and research trail far behind this rapid, largely unregulated adoption. Most responsible AI frameworks lack consensus, accountability, and meaningful implementation — particularly regarding adolescent health. Drawing on a policy and AI framework scan, multi-stakeholder workshops, and interviews with adolescents, this seminar discusses urgent, actionable priorities to prevent harm and ensure AI responsibly supports adolescent mental health.


About Lecturer:

Dr. Caroline Figueroa: Harkness Fellow & Visiting Assistant Professor, Stanford University
Dr. Caroline Figueroa is an MD–PhD scientist and expert in artificial intelligence, digital health, and youth mental well-being. She is currently a Commonwealth Fund Harkness Fellow at Stanford University and Hopelab, where she is co-developing responsible AI frameworks for youth mental health with youth, policymakers and industry partners. She is also a tenured Assistant Professor at Delft University of Technology and leads a Digital Health research group, advancing evidence-based, responsible design for AI-mediated mental health tools. Dr. Figueroa trained as a medical doctor and holds a PhD in the neuroscience of depression from the University of Amsterdam and the University of Oxford, and has clinical experience in psychiatry. She was previously a postdoctoral scholar at the University of California, Berkeley.


Date: Monday, May 18

Time: 9:30 AM

Location: UCI College of Health Sciences Building, Conference Room 4100

 Zoom: https://uci.zoom.us/j/93325268409

 

Adolescents & Generative AI Chatbots: Navigating Responsibility in Mental Health
  • Presents by: Dr. Caroline Figueroa
  • Location: In-Person & Online via Zoom  
  • Date: Monday, May 18, 2026
  • Time: 9:30 AM (Pacific Time)

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