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

This Microsoft Research Podcast episode delves into the realm of Artificial Intelligence and causal reasoning. With the advent of powerful new AI models like GPT-4, there has been a significant shift in the world of AI research. Ashley Llorens, an AI scientist and engineer, hosts conversations with his colleagues Senior Principal Researcher Emre Kiciman and Principal Researcher Amit Sharma, on the implications of large language models (LLMs) on the practice of causal inference. Their paper, titled “Causal Reasoning and Large Language Models: Opening a New Frontier for Causality,” explores the potential of LLMs for improving causal methods. They share insights on their experiences working with GPT-3.5 and GPT-4, and envision a world where LLMs bring different modes of reasoning together to enhance casual inference.

Through this podcast, listeners can gain a deeper understanding of AI developments, its potential applications in healthcare and education, and the future benefits it could bring to humanity. The research paper, “Causal Reasoning and Large Language Models: Opening a New Frontier for Causality,” and the book “The AI Revolution in Medicine: GPT-4 and Beyond” by Peter Lee, provide added insight for those interested in AI research.

Overall, this podcast is an excellent resource for anyone keen on staying up-to-date on the latest AI research and insights from industry experts.

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