The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Social Commonsense Reasoning with Yejin Choi - #518

Sep 13, 2021

Yejin Choi, a professor at the University of Washington, dives into the fascinating world of common sense reasoning and its role in natural language processing. She shares insights from her recent keynote at the Stanford HAI workshop, discussing how AI can enhance creative storytelling and the challenges in achieving human-like reasoning. Topics include the evolution of knowledge graphs, the intersection of common sense and narrative, and the importance of integrating knowledge in AI. Yejin also challenges conventional views on AI scalability in the quest for Artificial General Intelligence.

51:31

Creator website

Episode guests

Yejin Choi

AI Chapters

Episode notes

Intro

2min

Exploring Common Sense in AI

9min

Exploring the Depths of Knowledge Graphs and Inference Types

2min

The Intersection of Common Sense Reasoning and Storytelling

3min

Integrating Knowledge and Reasoning in AI

19min

Rethinking AI: Beyond Scaling

17min

Today we’re joined by Yejin Choi, a professor at the University of Washington. We had the pleasure of catching up with Yejin after her keynote interview at the recent Stanford HAI “Foundational Models” workshop. In our conversation, we explore her work at the intersection of natural language generation and common sense reasoning, including how she defines common sense, and what the current state of the world is for that research. We discuss how this could be used for creative storytelling, how transformers could be applied to these tasks, and we dig into the subfields of physical and social common sense reasoning. Finally, we talk through the future of Yejin’s research and the areas that she sees as most promising going forward.

If you enjoyed this episode, check out our conversation on AI Storytelling Systems with Mark Riedl. The complete show notes for today’s episode can be found at twimlai.com/go/518.

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