Uploaded September 2026 | Updated September 2026, 3 weeks ago
Recorded 02 September 2026. Elias Bareinboim of Columbia University presents "Towards Causal AI: From Mechanism to Understanding" at IPAM's Foundations of Interpretability Workshop.
Abstract: I frame this discussion in terms of five core capabilities that we should expect from an intelligent AI system: performing causal reasoning and articulating explanations; making precise, surgical, and sample-efficient decisions; generalizing across changing conditions and environments; generating and simulating in a causally consistent manner; and learning causal structures and variables.
In this talk, I will elaborate on this perspective and share current progress toward building causally intelligent AI systems. A more detailed discussion of this thesis is provided in my forthcoming textbook, a draft of which is available here: causalai-book.net/.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/foundations-of-interpretability/?tab=overview
Recorded 02 September 2026. Elias Bareinboim of Columbia University presents "Towards Causal AI: From Mechanism to Understanding" at IPAM's Foundations of Interpretability Workshop.
Abstract: I frame this discussion in terms of five core capabilities that we should expect from an intelligent AI system: performing causal reasoning and articulating explanations; making precise, surgical, and sample-efficient decisions; generalizing across changing conditions and environments; generating and simulating in a causally consistent manner; and learning causal structures and variables.
In this talk, I will elaborate on this perspective and share current progress toward building causally intelligent AI systems. A more detailed discussion of this thesis is provided in my forthcoming textbook, a draft of which is available here: causalai-book.net/.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/foundations-of-interpretability/?tab=overview
