Stanford Psychology Podcast Stanford Psychology

Xi Jia chats with Dr. Michal Kosinski, an Associate Professor of Organizational Behavior at Stanford University's Graduate School of Business. Michal's research interests recently encompass both human and artificial cognition. Currently, his work centers on examining the psychological processes in Large Language Models (LLMs), and leveraging Artificial Intelligence (AI), Machine Learning (ML), Big Data, and computational techniques to model and predict human behavior.

In this episode, they chat about Michal's recent works: "Theory of Mind Might Have Spontaneously Emerged in Large Language Models" and "Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT". Michal also shared his scientific journey and some personal suggestions for PhD students.

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Michal's paper on Theory of Mind in LLMs: https://arxiv.org/abs/2302.02083
Michal's paper on reasoning bias in LLMs: https://www.nature.com/articles/s43588-023-00527-x

Michal's personal website: https://www.michalkosinski.com/


Xi Jia's profile: https://profiles.stanford.edu/xijia-zhou
Xi Jia's Twitter/X: https://twitter.com/LauraXijiaZhou


Podcast Twitter @StanfordPsyPod
Podcast Substack https://stanfordpsypod.substack.com/


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Anjie chats with Dr. Joshua Hartshorne, an assistant professor of psychology at Boston College where he directs the Language Learning Laboratory. He studies language learning from a variety of aspects, including but not limited to: bootstrapping language acquisition, relationship between language and commonsense, as well as the critical periods in learning new languages. In this episode, they chat about Josh’s recent work on second language acquisition: “Will children learn English faster if their native language is similar to English?”. Josh also shares some insights on the best way to teach language to kids and adults.

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Josh’s paper: https://l3atbc-public.s3.amazonaws.com/pub_pdfs/Yun%20et%20al%202023.pdf
Josh’s personal profile: https://www.bc.edu/bc-web/schools/mcas/departments/psychology/people/faculty-directory/joshua-hartshorne.html
Josh’s lab website: http://l3atbc.org/index.html
Anjie’s: website: anjiecao.github.io
Anjie’s Twitter @anjie_cao


Podcast Twitter @StanfordPsyPod
Podcast Substack https://stanfordpsypod.substack.com/


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This week, Julia chats with two guests from University College London, Professor Steve Fleming and Dr. Nadine Dijkstra. Professor Fleming is the Wellcome Trust/Royal Society Sir Henry Dale Fellow at the Department of Experimental Psychology and Principal Investigator at the Wellcome Centre for Human Neuroimaging where he leads the Metacognition Group. He has received numerous awards for his work, including the William James prize from the Association for Scientific Study of Consciousness. Dr. Dijkstra is a Senior Research Fellow at the Wellcome Centre for Human Neuroimaging at University College London. She earned her PhD in Artificial Intelligence at the Donders Institute in 2019, after which she moved to London to pursue a postdoc at UCL with Professor Fleming. 


In this episode, Dr. Dijkstra and Professor Fleming take us into the fascinating realm of how we distinguish, or at least attempt to distinguish, reality from imagination. They relate the details of a recent study, which indicates that our perceptions of reality might not be as different from our imaginations as we would like to believe. They suggest that this framework of perceptual reality monitoring could be a lens through which our brains interpret all of our experiences. In fact, this perceptual reality monitoring framework might provide an explanation of how we consciously experience the world. After discussing their recent experiment and relating it to the broader field of consciousness science, each of them shares details about their career journeys and their hopes for the future of the field.


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Links:
Link to the paper we discussed
Check out more of Professor Fleming and Dr. Dijkstra’s work at the UCL Metacognition lab website! 


Podcast Twitter @StanfordPsyPod
Podcast Substack https://stanfordpsypod.substack.com/ 
Let us know what you think of this episode or of the podcast by sending us an email at stanfordpsychologypodcast@gmail.com

Anjie chats with Dr. Bryan Brown. Bryan is a professor of teacher education at the Graduate School of Education at Stanford University. His research interest explores the relationship between student identity, discourse, classroom culture, and academic achievement in science education. In this episode, we chat about his recent work on adopting VR – Virtual Reality in the classroom. The title of the paper we discuss is Teaching culturally relevant science in virtual reality: “when a problem comes, you can solve it with science”. Bryan shares his insights on how VR could be a valuable tool to science education. He also talks about how he became interested in this topic. 


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Bryan’s paper: https://www.tandfonline.com/doi/abs/10.1080/1046560X.2020.1778248
Bryan’s personal profile: https://profiles.stanford.edu/bryan-brown


Anjie’s: website: anjiecao.github.io
Anjie’s Twitter @anjie_cao



Podcast Twitter @StanfordPsyPod
Podcast Substack https://stanfordpsypod.substack.com/


Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com

Eric chats with Joshua Jackson, newly minted Assistant Professor of Behavioral Science at University of Chicago’s Booth School of Business. In his research, Josh studies how culture co-evolves with psychology. He is interested in how culture has shaped the mind throughout human history, and how it continues to shape human futures. He regularly publishes in the field’s best journals with innovative methods and is by many considered a rising star in psychology.
In this chat, Eric and Josh discuss culture and morality. Why do some cultures have a crude view of another’s morality as either all good or all bad, when some cultures have a more nuanced view? Can we ever know how kind someone truly is? How does social media impact our sense of morality? Finally, Josh shares his exciting journey across the whole globe to find his identity as an academic and opens up about the hopes and anxieties he has over becoming a professor.


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If you found this episode interesting at all, consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology.

Links:
Josh's paper
Josh's website

Eric's website
Eric's Twitter @EricNeumannPsy

Podcast Twitter @StanfordPsyPod
Podcast Substack https://stanfordpsypod.substack.com/

Let us know what you think of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com

Anjie chats with Dr. Sho Tsuji, an Assistant Professor at the University of Tokyo where she directs the IRCN baby lab. Her core research interests involve understanding how babies acquire language efficiently. In this episode, we chat about her recent work on approaching this question from a computational perspective, a paper titled “SCALa: A blueprint for computational models of language acquisition in social context”. Sho explained why a computational perspective is crucial for understanding language acquisition. She also shared her perspective on large language models as a human language acquisition researcher.  


If you found this episode interesting at all, subscribe on our Substack and consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology.


Paper: https://www.sciencedirect.com/science/article/pii/S0010027721001980?casa_token=qgQQnJZhAtsAAAAA:jpgo27gePFql_iSljm__ZAEcnT-3Qcemy5_QMVxL06DQO_ZJjHuGeBlFHmnnbUd-9UD5xNGK920
Sho’s personal website: https://sites.google.com/site/tsujish/home
Sho’s lab website: https://babylab.ircn.jp/en/
Anjie’s: website: anjiecao.github.io
Anjie’s Twitter @anjie_cao



Podcast Twitter @StanfordPsyPod
Podcast Substack https://stanfordpsypod.substack.com/


Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com