Workshop at industry partner Frequentis: XAI in Air Traffic Management
Prof. Stefan Woltran, iCAIML researcher Alexander Beiser, and master's student Stefan Hamm visited industry partner Frequentis to hold a workshop on Explainable Artificial Intelligence (XAI) in Air Traffic Management (ATM).
On March 25, 2026, iCAIML representatives organized a workshop at Frequentis focusing on the application of XAI to ATM. The event organizers included:
- Georg Trausmuth: Director of Corporate Research and Host, Frequentis
- Stefan Woltran: Head of iCAIML, TU Wien
- Alexander Beiser: iCAIML PhD researcher, TU Wien
- Stefan Hamm: Master’s student, TU Wien
Stefan Woltran introduced CAIML and iCAIML. Alexander Beiser presented a one-year PhD retrospective, detailing general guidelines for developing XAI in safety-critical infrastructure and providing a deep dive into ongoing research in Air Traffic Flow and Capacity Management (ATFCM). Stefan Hamm presented his master’s thesis research and conducted expert interviews on XAI implementation.
Integrating AI to optimize ATM efficiency while satisfying strict requirements for safety-critical systems remains an open challenge in science and industry. XAI for ATM is an emerging field and promising approach towards the integration of AI into ATM. The ongoing research done by CAIML researchers focuses on both symbolic and subsymbolic XAI approaches, ranging from principles in XAI for optimization in air traffic flow management, to post-hoc methods for reinforcement learning in air traffic control.