# 301 - Guest: Ricky Sethi, Artificial Metacognition Researcher, part 1

Page: https://stenobird.com/podcast/artificial-intelligence-and-you-381707/301-guest-ricky-sethi-artificial-metacognition-researcher-part-1
Text version: https://stenobird.com/podcast/artificial-intelligence-and-you-381707/301-guest-ricky-sethi-artificial-metacognition-researcher-part-1.md
Podcast: [Artificial Intelligence and You](https://stenobird.com/podcast/artificial-intelligence-and-you-381707)
Published: 2026-03-23T17:00:00+00:00
Episode link: https://aiandyou.net/e/301-guest-ricky-sethi-artificial-metacognition-researcher-part-1/
Audio file: https://mcdn.podbean.com/mf/web/gjuxkde7y2vz2wti/301_AI-and-You.mp3
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JSON: https://stenobird.com/v1/public/podcasts/artificial-intelligence-and-you-381707/episodes/301-guest-ricky-sethi-artificial-metacognition-researcher-part-1
Duration seconds: 2186

## Resource

This and all episodes at: https://aiandyou.net/ . Have you ever thought about your thoughts? About what or how you’re thinking? It gets real meta real fast, doesn’t it? That’s called metacognition, and humans and certain other creatures do it. But what about AI? Can it think about thinking? Here to help us understand this whole thing is artificial metacognition researcher Ricky Sethi. He is Professor of Computer Science at Fitchburg State University, Director of Research for the Madsci Network, and an Adjunct Professor at Worcester Polytechnic Institute. His research spans fact-checking misinformation, virtual communities, and artificial metacognition, where he focuses on designing GenAI systems that can monitor, evaluate, and regulate their own reasoning. Is that cool or what? Ricky has a bachelors in neurobiology and physics, an M.S. in physics/information systems, and a PhD in AI from UC Riverside. He has over 50 scholarly publications, and his work has been covered in outlets such as the Chicago Tribune, The Conversation, and Communications of the ACM. Recently, he has introduced the Metacognitive State Vector framework for quantifying key cognitive signals in ensembles of large language models. We talk about how this spans computer science, neuroscience, and psychology; System One and System Two thinking come up again, with a beautiful explanation. We also talk about testing and measuring metacognition in humans and AIs – and what about dolphins? All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.

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## Transcript

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