Reflections on the Workshop “Gender. Medicine. AI”
The first Feminist AI - Workshop “Gender. Medicine. AI” brought together various participants from diverse academic backgrounds – ranging from computer science and medicine to the humanities and social sciences.
The afternoon began with a shared lunch, offering a relaxed space for informal exchange and networking. Conversations flowed across tables, bridging disciplines and sparking new connections.
A central highlight of the workshop was the guest lecture by Dr. Magdalena Eitenberger (University of Vienna), titled “Triangulating Gender, Technologies and Medicine: Challenges and Opportunities for Designing More Equitable Health Futures.” In her talk, Dr. Eitenberger emphasized the importance of integrating intersectional gender perspectives into technological development and called for a deeper ethical engagement with the design of health technologies.
Following the lunch, Anna Jansen and Eva Maria Hille offered insights into ongoing research projects in the field of medical AI at the University of Bonn and the University Hospital Bonn. Their presentations touched on predictive modeling using eye-tracking and the use of non-invasive technologies to infer internal health states – both illustrating how technological innovation intersects with clinical application.
To close the workshop, participants gathered for an interactive speed dating session on "Feminist AI" over coffee and nut corners. Guided by questions like “What does Feminist AI mean to you?” and “What AI future would you like to help shape - and which one would you like to avoid?”, the format invited dynamic exchanges and new ideas in a playful, informal setting.
This workshop marked the beginning of a new event series organized by the Feminist AI - Network. The workshop series aims to strengthen connections among female* students, researchers, and staff working with or interested in Artificial Intelligence through feminist, intersectional, and interdisciplinary lenses.