Third Symposium on Algorithmic Information Theory and Machine Learning, 

27-29 July 2026, Mathematical Institute, University of Oxford, Oxford, UK.

Following the success of the first two editions-held at the Alan Turing Institute (2022) and Imperial College London (2025)- we are pleased to announce the 3rd Symposium on Machine Learning and Algorithmic Information Theory, now with a special emphasis on AI safety applications.

This symposium continues to develop the growing dialogue between Algorithmic Information Theory and Machine Learning, bringing together researchers from across theoretical and applied disciplines to examine foundational questions and emerging directions in the field.

Aim of the Symposium

Our goal is to bring together researchers working at the intersection of:

• Algorithmic Information Theory

• Machine Learning

• Learning Theory

• Dynamical Systems

• Control Theory

• Agent Foundations

• AI Safety

We are especially interested in the use of ideas such as Kolmogorov complexity and algorithmic probability to better understand pressing challenges related to:

• Generalization in AI systems

• Agent behaviour

• Alignment and safety

Topics of Interest

Topics include, but are not limited to:

1. AIT-based explanations for why particular ML methods succeed or fail

2. Foundations and applications of Solomonoff induction

3. Relationships among information theory, learning, compression, and agency

4. ML approaches to prediction and compression that approximate Kolmogorov complexity

5. Algorithmic-probability-based approaches to probabilistic modelling

6. Embedded agency and imprecise probability

7. Dynamical systems and control-theoretic perspectives on the stability, robustness, and safety of learning systems

Organizing Committee: Boumediene Hamzi,  Branton DeMoss, Kamaludin Dingle, Aram Ebtekar, Marcus Hutter, Cole Wyeth

Call for Participation

Researchers interested in giving a talk are invited to complete the submission form [here]

Attendance and Updates

Whether you plan to attend in person, online, or simply wish to receive updates about this event and future activities in AIT and ML, please complete the interest form [interest form here]

Recordings

Talk recordings will be made available after the symposium and posted [here]

Food and Refreshments

Lunch and light refreshments may be provided during the event; however, this cannot be guaranteed.