From December 10th to 12th, the Master in Intelligent Robotic Systems (MIRS) students (2024–2026 cohort) participated in a transformative seminar on Explainable Artificial Intelligence (XAI) at the University of Girona. This event, co-organized by Dr. Sebastian Lapuschkin (Head of Explainable AI at Fraunhofer Heinrich Hertz Institute, Berlin) and Professor Rafael Garcia (University of Girona), brought together participants from several prestigious programs, including the Intelligent Field Robotic Systems (IFRoS) and the Erasmus Mundus Joint Master Degree in Medical Imaging and Applications (MAIA).

The seminar highlighted the growing importance of XAI in promoting trust, accountability, and fairness in AI systems, with a special focus on its real-world applications in sectors such as healthcare, finance, and autonomous vehicles. Unlike black-box models, explainable AI methods aim to provide transparent and interpretable predictions, ensuring compliance with legal and ethical standards while enhancing system performance by detecting biases and enabling auditable decisions.

Day 1 introduced students to the fundamental concepts of XAI, explaining its motivations, the distinctions between black-box models and interpretable systems, and offering a research outlook on emerging trends. On Days 2 and 3, the seminar shifted to practical training, where students explored key XAI methodologies through hands-on work with diverse datasets, gaining valuable insights into applying these techniques to interpret model decisions effectively.

These sessions underscored MIRS’s dedication to delivering cutting-edge education and fostering collaborations with global AI and robotics experts. The inclusion of IFRoS and MAIA students further enriched the learning environment, demonstrating the interdisciplinary nature of modern robotics and AI research.

We extend our heartfelt thanks to Dr. Lapuschkin, Professor Garcia, and all participants for their contributions to making this seminar an outstanding success. Events like these exemplify MIRS’s commitment to preparing its students for leadership roles in the evolving fields of robotics and artificial intelligence.