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Pitfalls of Anthropomorphism: Misunderstanding AI’s Potential

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Manage episode 495706275 series 3382623
Content provided by Harvard University and Harvard Graduate School of Arts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard University and Harvard Graduate School of Arts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Raphaël Raux's 2025 Harvard Horizon project, "Human Learning about AI," conducted in collaboration with fellow PhD student Bnaya Dreyfuss, explores how people often assume AI thinks like a human, which can lead to confusion about what these systems can and can’t do. As a PhD candidate in economics at Harvard, Raux studies the complex relationship between how humans think and how artificial intelligence works. His research challenges common assumptions about AI and encourages a clearer, more realistic understanding of the technology. In his April 2025 talk at the annual Harvard Horizons Symposium, Raux shared insights from his work, which he hopes will support smarter decisions about how we use AI and help guide its development in ways that benefit both the economy and society.

  continue reading

63 episodes

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iconShare
 
Manage episode 495706275 series 3382623
Content provided by Harvard University and Harvard Graduate School of Arts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard University and Harvard Graduate School of Arts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Raphaël Raux's 2025 Harvard Horizon project, "Human Learning about AI," conducted in collaboration with fellow PhD student Bnaya Dreyfuss, explores how people often assume AI thinks like a human, which can lead to confusion about what these systems can and can’t do. As a PhD candidate in economics at Harvard, Raux studies the complex relationship between how humans think and how artificial intelligence works. His research challenges common assumptions about AI and encourages a clearer, more realistic understanding of the technology. In his April 2025 talk at the annual Harvard Horizons Symposium, Raux shared insights from his work, which he hopes will support smarter decisions about how we use AI and help guide its development in ways that benefit both the economy and society.

  continue reading

63 episodes

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