Guests:

• Tomer Ullman, Assistant Professor, Department of Psychology, Harvard University
• Murray Shanahan, Professor of Cognitive Robotics, Department of Computing, Imperial College London; Principal Research Scientist, Google DeepMind

Hosts: Abha Eli Phoboo & Melanie Mitchell

Producer: Katherine Moncure

Podcast theme music by: Mitch Mignano

Follow us on:
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More info:

• Tutorial: Fundamentals of Machine Learning
• Lecture: Artificial Intelligence
• SFI programs: Education

Books:

• Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
• The Technological Singularity by Murray Shanahan
• Embodiment and the inner life: Cognition and Consciousness in the Space of Possible Minds by Murray Shanahan
• Solving the Frame Problem by Murray Shanahan
• Search, Inference and Dependencies in Artificial Intelligence by Murray Shanahan and Richard Southwick

Talks:

• The Future of Artificial Intelligence by Melanie Mitchell
• Artificial intelligence: A brief introduction to AI by Murray Shanahan

Papers & Articles:

• “A Conversation With Bing’s Chatbot Left Me Deeply Unsettled,” in New York Times (Feb 16, 2023)
• “Bayesian Models of Conceptual Development: Learning as Building Models of the World,” in Annual Review of Developmental Psychology Volume 2 (Oct 26, 2020), doi.org/10.1146/annurev-devpsych-121318-084833
• “Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models,” in Findings of the Association for Computational Linguistics (December 2023), doi.org/10.18653/v1/2023.findings-emnlp.264
• “Role play with large language models,” in Nature (Nov 8, 2023), doi.org/10.1038/s41586-023-06647-8
• “Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks,” arXiv (v5, March 14, 2023), doi.org/10.48550/arXiv.2302.08399
• “Talking about Large Language Models,” in Communications of the ACM (Feb 12, 2024),
• “Simulacra as Conscious Exotica,” in arXiv (v2, July 11, 2024), doi.org/10.48550/arXiv.2402.12422

Guests:

• Alison Gopnik, SFI External Faculty; Professor of Psychology and Affiliate Professor of Philosophy at University of California, Berkeley; Member of Berkeley AI Research Group
• John Krakauer, SFI External Faculty; John C. Malone Professor of Neurology, Neuroscience, and Physical Medicine & Rehabilitation, Johns Hopkins University

Hosts: Abha Eli Phoboo & Melanie Mitchell

Producer: Katherine Moncure

Podcast theme music by: Mitch Mignano

Podcast logo by Nicholas Graham

Follow us on:
Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky

More info:

Complexity Explorer:

Tutorial: Fundamentals of Machine Learning

Lecture: Artificial Intelligence

SFI programs: Education

Books:

• Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
• Words, Thoughts and Theories by Alison Gopnik and Andrew N. Meltzoff
• The Scientist in the Crib: Minds, Brains, and How Children Learn by Alison Gopnik, Andrew N. Meltzoff, and Patricia K. Kuhl
• The Philosophical Baby: What Children's Minds Tell Us About Truth, Love, and the Meaning of Life by Alison Gopnik
• The Gardener and the Carpenter: What the New Science of Child Development Tells Us About the Relationship Between Parents and Children by Alison Gopnik

Talks:

• The Future of Artificial Intelligence by Melanie Mitchell
• Imitation Versus Innovation: What Children Can Do That Large Langauge Models’ Can’t by Alison Gopnik
• The Minds of Children by Alison Gopnik
• What Understanding Adds to Cambrian Intelligence: A Taxonomy by John Krakauer

Papers & Articles:

• “Why you can’t make a computer that feels pain,” by Daniel C. Dennett
• “Transmission versus truth, imitation versus innovation: What children can do that Large Language and Language-and-Vision models cannot (yet),” in Perspectives on Psychological Science (October 26, 2023), doi.org/10.1177/17456916231201401
• “Empowerment as Causal Learning, Causal Learning as Empowerment: A bridge between Bayesian causal hypothesis testing and reinforcement learning,” by Alison Gopnik
• “What can AI Learn from Human Exploration? Intrinsically-Motivated Humans and Agents in Open-World Exploration” by Yuqing Du et al, for Workshop: Agent Learning in Open-Endedness Workshop, NeurIPS 2024 conference
• “Two views on the cognitive brain,” by David L. Barack & John W. Krakauer, Perspectives in Nature Reviews Neuroscience Vol 22 (April 15, 2021)
• “The intelligent reflex,” by John W. Krakauer, Philosophical Psychology (May 23, 2019), doi.org/10.1080/09515089.2019.1607281
• “Representation in Cognitive Science by Nicholas Shea: But Is It Thinking? The Philosophy of Representation Meets Systems Neuroscience” by John W. Krakauer