Cari Colleghi, vi ricordo il seguente seminario della serie dei MOX COLLOQUIA: 07.05.26 Ore 14:30 - Sala Consiglio, Edificio 14, Politecnico di Milano Speaker: Peter Bühlmann, ETH Zürich Titolo: Causality-Inspired Machine Learning: A Path to more Robust AI Systems Abstract: The pursuit of reliable and robust machine learning has become a central focus, with statistics and data science playing pivotal roles in its advancement. We explore connections between distributional robustness and causality, providing methodological insights to enhance the reliability of AI systems. We examine the broader implications of these concepts through a case study in digital health and conclude by emphasizing the importance of rigorous real-world validation of machine learning and AI algorithms. https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=27... <https://cassyni.com/events/Lwo25Mh9yCpmezYk7Fie8m> [NgwyDiUV254sqYXdcEuAM4.png] Causality-Inspired Machine Learning: A Path to more Robust AI Systems<https://cassyni.com/events/Lwo25Mh9yCpmezYk7Fie8m> cassyni.com<https://cassyni.com/events/Lwo25Mh9yCpmezYk7Fie8m> Per seguirlo in streaming è necessario registrarsi (gratuitamente) alla piattaforma Cassyni. Un caro saluto, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli@polimi.it https://sangalli.faculty.polimi.it