Deep Dive Workshop
Bridging Minds and Machines: Responsible AI for Mental Health Care
Organized by:
Friday 9 October 10.05
Lead organizer: Jens Kristian R Schou, PostDoc, University of Utah
Are you working at the intersection of AI and mental health? Join us in developing responsible LLM integration in Danish healthcare.
This collaborative workshop brings together researchers and clinicians from psychology, psychiatry, computer science, and HCI to work through the challenges and opportunities of using large language models in clinical care. You will hear short talks from leading experts and take part in facilitated group discussions aimed at identifying concrete clinical problems and research opportunities.
Whether you build these systems or use them with patients, your perspective matters. Come to connect with peers, test your ideas against others working on the same problems, and help set the research agenda for AI-supported psychological treatment. You will leave with a shared, actionable roadmap to build on.
Welcome and framing (5 min)
Jens Kristian R. Schou
Therapist in the Loop: Augmenting Workflows in Internet-based Psychological Treatment with Large Language Models (15 min)
Thomas T. Lamm, Psychology PhD student, Aarhus University Hospital
Evaluating the safety and competence of “LLMs-as-therapists” across five clinical domains: a structured rubric and its application (15 min)
Benjamin A. T. Arnfred, Psychology PostDoc, Copenhagen University
Children in Conversation with AI-How do young people use generative AI for emotional support (15 min)
Anne Dorothee Müller, Psychology Researcher, Copenhagen University Hospital
Groups identify challenges and opportunities (40 min)
Break (10 min)
Responsible AI in mental health practice: a strategic framework for development and adoption (20 min)
Jens Kristian R Schou, Computer Science PostDoc, University of Utah
Automatic facial expression analysis in psychology
Stella Grasshof, Associate Professor, Data Science Section, IT University of Copenhagen (20 min)
New groups refine the previous discussions (30 min)
Wrap-up discussion (10 min)
Intermediate: For attendees who have basic understanding or some experience with the subject but are not yet advanced.