Workshop · April 2026
Statistical Physics for Ambitious Interpretability
We're bringing together researchers in physics, CS, AI safety, and neuroscience to explore how statistical physics can advance AI interpretability.
As part of an ongoing collaboration, this workshop brings together researchers from across disciplines to discuss physics-inspired approaches to understanding AI systems, including data structure, learning theory, and tools to interpret learned representations. Our goal is to coordinate on recent progress and seed new collaborations. Expect seminar-style talks, collaborative discussion sessions and tutorials, and plenty of time for focused discussions.
Registration is currently closed. Contact Claudine Lim (claudine AT princint DOT ai) or Lauren Greenspan (lauren AT princint DOT ai) for more information.
Schedule
The schedule is in progress and will be updated as it develops.
View the current schedule →
Location
The workshop will be held at two locations in the Kendall Square neighborhood of Cambridge. Both are easily accessible via the MBTA red line (Kendall/MIT stop). Please bring a photo ID to check in at the front desk.
Monday, April 13 – Tuesday, April 14
Microsoft Conference Center
1 Memorial Dr, Cambridge, MA 02142
Wednesday, April 15 – Friday, April 17
Contact
For questions, reach out to us at claudine@princint.ai or lauren@princint.ai.
Featured Speakers
Additional speakers to be announced.
Previous Workshop
Our October workshop brought together researchers in physics, CS, AI safety, and neuroscience and resulted in several exciting new research directions.
Watch October 2025 TalksStay in Touch
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