Mental health disorders affect a significant share of the global population. Meeting the resulting demand for care is a challenge on two fronts: patients face long waiting times and limited access to support, while mental health practitioners work under significant time pressure with processes that are often still manual and fragmented. Two developments in AI offer complementary responses: AI-based process digitalization can make clinical and therapeutic workflows more efficient for practitioners, while conversational AI agents can extend therapeutic support directly to those who need it.  

In this special course offering by Dr. Florian Kuhlmeier, human-centered systems lab (h-lab) at the Institute for Information Systems (WIN) in the upcoming summer semester 2026, students should understand the mental health domain and explore the opportunities for designing AI-based information systems in this field. Students will team-up to design and evaluate functional AI-based mental healthcare application prototypes in collaboration with our partners from clinical psychology and psychotherapy.  

Further information is available here: https://h-lab.win.kit.edu/3834_3887.php.