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Causal Bandits Podcast
Open Source Causal AI & The Generative Revolution | Emre Kıcıman Ep 16 | CausalBanditsPodcast.com
May 20, 2024
Emre Kıcıman, a core developer of DoWhy, delves into open source causal AI with Microsoft and Amazon collaboration. They discuss the core of science in causal AI, the intersection of language models and world models, the usefulness of modeling physics, and the future of generative AI. The conversation explores challenges in causality, the importance of causal inference in decision-making, and the evolution of libraries promoting causal analysis.
42:20
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Quick takeaways
- Large language models can aid causal analysis by assisting in setting up causal assumptions and critiquing them.
- Generative models offer the potential to approximate causal world models, enhancing artificial intelligence advancements.
Deep dives
Causality in Large Language Models
Emre Kijeman discusses the potential of large language models to contribute to causal analysis. While current models may not reason causally, their embedded knowledge offers opportunities to enhance causal analysis by aiding in setting up causal assumptions and critiquing them. This augmentation complements existing methods and provides domain experts with valuable support in identifying plausible causal mechanisms.
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