140 - AI Frontiers: The future of causal reasoning with Emre Kiciman and Amit Sharma

Ashley Llorens, an AI scientist and engineer, is hosting a podcast series that focuses on the implications of large-scale AI models like GPT-4 in various fields of study. In this episode, Senior Principal Researcher Emre Kiciman and Principal Researcher Amit Sharma delve into their paper "Causal Reasoning and Large Language Models: Opening a New Frontier for Causality" and explore the causal capabilities of large language models. They discuss their journey with GPT-3.5 and GPT-4 and the potential for LLMs to make causal methods easier to adopt, bringing together different modes of reasoning in causal inference. The conversation highlights the significance of large-scale AI models in the field of AI and their potential to revolutionize fields like healthcare and education for the benefit of humanity.

Listeners are encouraged to check out the publication "Causal Reasoning and Large Language Models: Opening a New Frontier for Causality," the book "The AI Revolution in Medicine: GPT-4 and Beyond" by Peter Lee, and to learn more about the breadth of AI research at Microsoft.

The future of AI is bright, and this podcast provides an informative and engaging discussion that will pique the interest of anyone curious about the power of large-scale AI models like GPT-4, their capabilities, and how they will shape our future.