Künstliche Intelligenz basiert heute weitgehend auf statistischen Methoden, mit denen nach Mustern in großen Datenmengen gesucht wird. Bisher kann die KI keine Kausalitäten erkennen, kann also nicht w...

<p><span>Are you passionate about advancing Machine Learning by integrating insights from the natural sciences? Are you eager to bridge the 3rd (<em><span>computational</span></em>) and 4th (<em><span...

Amsterdam, Netherlands | 17-21 August

Amsterdam, Netherlands | 17-21 August

Are you interested in improving the interpretability, robustness and safety of AI by integrating causal reasoning? The Causality team in the AMLab group at the University of Amsterdam is looking for 2...

Workshop on Causality in the Age of AI Scaling (5 May 2026, Tangier, Morocco)

Workshop on Unifying Concept Representation Learning (ICLR 2026)

Workshop on Unifying Concept Representation Learning (ICLR 2026)

Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who have already receiv...

In safety-critical applications, guaranteeing the satisfaction of constraints over continuous environments is crucial, e.g., an autonomous agent should never crash over obstacles or go off-road....