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.
The 2-day workshop will include: Key notes - state of the art presentations from leading researchers in the fields of machine learning, epidemiology, law, and ethics. Talks - moderated discussions on the need for an interdisciplinary collaboration in developing a framework for responsible AI in mental health applications. Poster session - junior researchers presenting their research in this field.
To Be Announced
The workshop is generously funded by the Danish Data Science Academy (DDSA) and the Lundbeck foundation via the TRUSTMIND project.