University of Melbourne

Causal Learning & Reasoning Group

Understanding causality is a necessary precursor for building more human-like machine intelligence. We are interested in theoretical foundations and computational innovations in causal AI, as well as applications in science and industry. Our mission is two fold: 1) to empower machines to reason about cause and effect from real-world complex data, and 2) to make machine learning and AI generalizable, equitable, and responsible with the help of causal knowledge.

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