[CFP] Causality in the Age of AI Scaling Workshop at AISTATS 2026

[Bryon Aragam]

AISTATS 2026 Workshop on Causality in the Age of AI Scaling
Website: https://causcale.github.io/

Workshop information
We are excited to announce our AISTATS workshop “Causality in the Age of AI Scaling”, taking place on May 5, 2026 in beautiful Tangier, Morocco.

This workshop aims to understand and explore the potential synergy between scaling predictive methods and formal causal modeling in order to build the next generation of AI.

Reasoning about interventions, the core of causality, is fundamental to solving many of modern AI’s most pressing challenges, yet recent AI breakthroughs have been overwhelmingly driven by scaling models without explicit causal modeling. This success raises a critical question: Can causal abilities emerge from scale alone, and if not, what can explicit causal modeling bring that scale cannot?

Submissions

We invite submissions of short papers presenting recent work on scaling and causality. Submissions will be handled via OpenReview. Submissions under review or accepted within the past year at other venues are allowed.

Details

Website: https://causcale.github.io/

Submission deadline: February 27, 2026

Workshop date: May 5, 2026

Organizers:

• David Inouye (Purdue University)

• Bryon Aragam (University of Chicago) 

• Murat Kocaoglu (Johns Hopkins University)