We are excited to announce the Third Symposium on Algorithmic Information Theory and Machine Learning this July 27 – 29 at the University of Oxford!
See the details here: https://sites.google.com/site/boumedienehamzi/third-symposium-on-machine-learning-and-algorithmic-information-theory
The third iteration of the symposium is particularly focused on applications of AIT to the theory and practice of AI safety. AIXI has long been applied to model the risks of artificial superintelligence (ASI) and suggest mitigations, notably by Michael K. Cohen (https://www.michael-k-cohen.com/publications), including in joint work recently presented here by Aram Ebtekar (https://uaiasi.com/2026/04/04/aram-ebtekar-on-aixi-with-golden-handcuffs/). This research community is still small, and we hope to form collaborations with researchers working at the intersection of AIT and ML more broadly!
If you would like to attend, please complete the interest form which is available through the link above!
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