The first keynote will be delivered by Rosina O. Weber, Professor of Information Science and Computer Science at Drexel University. In her talk, “XAI is in Trouble, but is CBR?”, she critically examines the challenges facing Explainable AI and reflects on the position of CBR within the broader AI landscape. Drawing on recent work, she examines whether CBR faces an identity challenge and how the field can leverage its strengths to enhance its impact in modern AI systems.

The second keynote will be given by Eyke Hüllermeier, Professor of Artificial Intelligence and Machine Learning at LMU Munich. His talk, “In Any Case, or Maybe Not? Towards Uncertainty-Aware CBR”, focuses on the representation and handling of uncertainty in Case-Based Reasoning. He will connect recent advances in uncertainty quantification—such as aleatoric and epistemic uncertainty and conformal prediction—with CBR, and outline open challenges and opportunities for developing uncertainty-aware case-based systems.

Together, these keynotes highlight both reflective and forward-looking perspectives, addressing foundational questions as well as emerging methodological directions. We look forward to welcoming both speakers and to the discussions their talks will inspire at ICCBR 2026.