The summer school will take place from September 8 to September 11, 2025 in Como – Villa del Grumello.
Artificial Intelligence (AI) systems are increasingly used to make consequential decisions in a wide range of domains, including banking, healthcare, transportation and beyond. The need to understand AI to improve, contest, develop appropriate trust, and better interact with AI systems has spurred great academic and public interest in Explainable AI (XAI). The technical field of XAI has produced a vast collection of algorithms in recent years. As a result, several methods and tools have been developed to explain the decisions of these systems, with the aim to deliver XAI solutions suitable for a human-centred world. Purpose of this school is to let PhD students and young researchers come in touch with recent, challenging, scientific problems related to innovative applications in XAI, with an introduction to suitable mathematical and computational methods.
Seminars are planned from both the academic and industrial worlds.
Lectures
Rosário Oliveira
Instituto Superior Técnico, Universidade de Lisboa
Nicolas Brunel
Duke University School of Medicine & Department of Computing Sciences, Bocconi University Milano
Patrizio Frosini
Department of Computer Science, University of Pisa
Luca Calatroni
Department of Computer Science, Bioengineering, Robotics, and Systems Engineering, University of Genova
Giuseppe Jurman
Fondazione Bruno Kessler, Trento
Alessandra Micheletti
Department of Environmental Science and Policy, University of Milano
Giovanni Bocchi
Department of Environmental Science and Policy, University of Milano
Alessandro Ferrari
ARGO Vison srl
Marco D. P. Tettamanti
Department of Psychology, University of Milano-Bicocca
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Slots for posters are still available.
Free hospitality at the guesthouse of Villa Grumello is available for a limited number of participants.
Organizing Committee
Alessandro Benfenati, Paola Causin, Shyam Diwakar, Elena Loli Piccolomini, Giovanni Naldi, Marco Prato