Our aim with this invited workshop is to bring together a diverse and interdisciplinary group of internationally renowned scientists along with junior participants. This workshop will specifically focus on the contribution from data science to developing and testing responsible, trustworthy and ethical AI for mental health application as this is a fast emerging industry and its success demand a close interdisciplinary collaboration and academic discussion. Our group of co-organizers are therefore from a broad field representing machine learning, epidemiology, law, and ethics. Invited talks will provide state of the art knowledge of the field and in critical discussions across disciplinary boundaries we aim to make substantial progress towards medical machine learning systems that are trustworthy, equitable, and beneficial for society at large. While the workshop is primarily a physical event, a live-stream of the lectures will be made available for free.
| Time | Program |
|---|---|
| 08:30-09:00 | Arrival, coffee |
| 09:00-09:10 | Welcome |
| Generative AI and Mental Health Care | |
| 09:10-09:55 | Charlotte Blease – Psychotherapy and Generative AI |
| 09:55-10:40 | Munmun de Choudhury – What Mental Health Teaches Us About Responsible Generative AI |
| 10:40-11:00 | Coffee break |
| 11:00-11:45 | Søren Dinesen Østergaard – Generative Intelligence Chatbots and Delusions |
| Clinical Translation and Real-World Implementation | |
| 11:45-12:30 | Benjamin A. T. Arnfred – Hype to Healthcare |
| 12:30-14:00 | Lunch |
| 14:00-14:45 | Paris Alexandros Lalousis – Why Mental Health Needs AI; and Why Accuracy is not Enough |
| 14:45-15:30 | Line Clemmensen – Data Representativity and Modeling |
| 15:30-16:00 | Coffee break |
| Measuring Mental Health | |
| 16:00-16:45 | Stella Grasshof – Facial Expression Analysis in Mental Health Applications |
| 16:45-17:30 | Helen Louise Coupland – Gender Differences in MDD Diagnosis |
| 18:30-21:00 | Dinner (only invited speakers and organizers) |
| Time | Program |
|---|---|
| 08:30-09:00 | Arrival, coffee |
| Fairness in Mental Health prediction | |
| 09:00-09:45 | Sara Kolding – Examining Fairness Across Mental Health Prediction Models |
| 09:45-10:30 | Alissa Valentine – Nationwide AI Models for Depression Prediction |
| 10:30-11:00 | Coffee break |
| 11:00-11:45 | Didem Stark – Hidden Heterogeneity, Hidden Inequity |
| Building Trustworthy Healthcare AI | |
| 11:45-12:30 | Jessica Schrouff – Building Fair and Robust AI for Healthcare |
| 12:30-14:00 | Lunch |
| 14:00-14:45 | Marc André Schulz – Training-data Attribution Measures |
| 14:45-15:30 | Michael Benros - Development and application of predictive models for psychiatry utilizing Danish Big Data resources |
| 15:30-16:45 | Coffee break with Poster session |
| 16:45-17:00 | Closing remarks |
The location of the event is the Festalen at GEUS, University of Copenhagen in Copenhagen. The venue is located in the heart of Copenhagen and is easily accessible by public transportation. The address is: Øster Voldgade 10, 1350 Copenhagen, Denmark
This workshop follows the DDSA Code of Conduct for Events. All participants, organizers, speakers, and volunteers are expected to contribute to a safe and inclusive environment.
The workshop is generously funded by the Danish Data Science Academy (DDSA) and the Lundbeck foundation via the TRUSTMIND project.