Open Source Causal AI & The Generative Revolution | Emre Kıcıman Ep 16 | CausalBanditsPodcast.com

Send us Fan Mail What makes two tech giants collaborate on an open source causal AI package?Emre's adventure with causal inference and causal AI has started before it was trendy. He's one of the original core developers of DoWhy - one of the most popular and powerful Python libraries for causal inference - and a researcher focused on the intersection of causal inference, causal discovery, generative modeling and social impact.His unique perspective, inspired by his experience with low-level programming combined with his vivid interest in how humans interact with technology, is driven by a deep seated desire to solve problems that matter to people.In the episode we discuss:🔹 What makes Microsoft and Amazon collaborate on an open source Python package?🔹 Causal AI and the core of science🔹 Is language model a world model?🔹 When modeling physics is useful?Ready to dive in?Join the insightful discussions at https://causalbanditspodcast.com/About The GuestEmre Kıcıman, PhD is a Senior Principal Research Manager at Microsoft Research. He's one of the core developers of the DoWhy Python package, alongside Amit Sharma. He holds a PhD in computer science from Stanford University. Privately, he loves to climb and spend time with his family.Connect with Emre:- Emre on Twitter/X- Emre on LinkedIn- Emre's web pageAbout The HostAleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality.Connect with Alex:- Alex on the InternetLinksLibraries- DoWhy (https://www.pywhy.org/dowhy/v0.11.1/)- EconML (https://econml.azurewebsites.net/)- CausalPy (https://causalpy.readthedocs.io/en/latest/)Books- Molak, A. - "Causal Inference and DiscoverySupport the showCausal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn:   https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io  The Causal Book: https://amzn.to/3QhsRz4