CHAI Seminar series
We are excited to bring you the CHAI Seminar Series, organised by our Early Career Researchers (ECRs). This seminar series will provide a platform for knowledge exchange and discussion on cutting-edge research in causal AI and related fields.
Upcoming Seminars
November Seminar -
June Seminar - How Causal AI Can Help Improve Radiation Cancer Treatments
Our June seminar “How Causal Analysis Can Help Improve Radiation Cancer Treatment” was led by Dr. Eliana Vasquez Osorio, University of Manchester.
May Seminar - On the Identifiability of Switching Dynamical Systems
Our May seminar titled “On the Identifiability of Switching Dynamical Systems”, was given by Dr Yingzhen Li, Imperial College London.
April Seminar - Regulating AI for Healthcare: Developments, Challenges, and Prospects.
Our April seminar titled “Regulating AI for Healthcare: Developments, Challenges, and Prospects.”, was given by James Lowe, University of Exeter.
March Seminar - Causality and Compositionality
Our September seminar “See, Think, Act: Training Agents by Reinforcing Reasoning” was led by Dr. Maning Li, Northwestern University.
Our March seminar titled “Causality and Compositionality”, featured Ricardo Silva, CHAI Research Lead, as the first speaker.
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October Seminar - See, Think, Act: Training Agents by Reinforcing Reasoning
Our October seminar “Causal Roadmap for generation of reliable Real-World Evidence with application to genomics and biomarker discovery” will be led by Dr. Ava Khamesh, University of Edinburgh.
