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This and all episodes at: https://aiandyou.net/ .
Have you ever thought about thinking? That’s called metacognition, and Megan Peters thinks about that, a lot. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, researching how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She’s a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She’s also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI.
We get really meta here: talking about thinking about thinking, how we build models of the world, how language shapes our thinking, whether AI is doing metacognition in its chains of thought, statistical learning in AIs and humans, consciousness in humans and animals and AIs, and theories of consciousness.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
By aiandyou5
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This and all episodes at: https://aiandyou.net/ .
Have you ever thought about thinking? That’s called metacognition, and Megan Peters thinks about that, a lot. She is an Associate Professor in the UC Irvine Department of Cognitive Sciences, researching how the brain represents and uses uncertainty, focusing on how these abilities support metacognitive evaluations of the quality of our decisions. She’s a Fellow in the UCI Center for the Neurobiology of Learning and Memory, the UCI Center for Theoretical Behavioral Sciences, and the Canadian Institute for Advanced Research (CIFAR) Brain Mind & Consciousness program. She’s also President and Co-founder of Neuromatch, an educational platform serving over 30,000 students in over 120 countries across computational neurosciences, deep learning, computational climate science, and neuroAI.
We get really meta here: talking about thinking about thinking, how we build models of the world, how language shapes our thinking, whether AI is doing metacognition in its chains of thought, statistical learning in AIs and humans, consciousness in humans and animals and AIs, and theories of consciousness.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.

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