Opening up the “Black Box” of Artificial Intelligence Models to Understand Human Cognition with Dr. Sarah-Jane Leslie and Dr. Tania Lombrozo

Brains, Black Holes, and Beyond

Have you ever wondered how similar information encoding and processing of artificial intelligence (AI) is to our own human brain? How are our minds incredibly energy efficient compared to the bucketloads of energy required to power these sophisticated yet oftentimes naive AI models? These are all questions we explore, and practical advice on how students can get involved in answering these types of questions as well as pursuing interdisciplinary studies! In this episode of Brains, Black Holes, and Beyond, Aanya Kasera sits down with Dr. Leslie and Dr. Lombrozo, professors and researchers who are part of heading the brand new interdisciplinary research initiative, Natural and Artificial Minds (NAM), to learn more about AI models and how that may enrich our understanding of the ever-enigmatic human mind.

This episode of Brains, Black Holes, and Beyond (B cubed) was produced under the 148th board of The Daily Princetonian in partnership with the Insights newsletter.

For more information about Dr. Leslie’s and Dr. Lombrozo’s research or the NAM Initiative, feel free to visit the pages linked below.
RESOURCES
NAM Initiative: https://ai.princeton.edu/nam
Dr. Leslie’s Research (philosophy, gender gaps in education): https://www.princeton.edu/~sjl...
Dr. Lombrozo's Research (cognitive psychology, explanation and understanding): https://cognition.princeton.ed...

CREDITS
Written and Hosted by Aanya Kasera and Lina Kim
Edited and Sound Engineered by Lina Kim
Transcript by Aanya Kasera
Produced by Lina Kim and Senna Aldoubosh

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