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When Prediction Is Not Enough (with Teppo Felin)

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Content provided by Library of Economics and Liberty and Russ Roberts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Library of Economics and Liberty and Russ Roberts 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://player.fm/legal.

If the Wright Brothers could have used AI to guide their decision making, it's almost certain they would never have gotten off the ground. That's because, points out Teppo Felin of Utah State University and Oxford, all the evidence said human flight was impossible. So how and why did the Wrights persevere? Felin explains that the human ability to ignore existing data and evidence is not only our Achilles heel, but also one of our superpowers. Topics include the problems inherent in modeling our brains after computers, and the value of not only data-driven prediction, but also belief-driven experimentation.

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949 episodes

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When Prediction Is Not Enough (with Teppo Felin)

EconTalk

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Manage episode 412644766 series 142
Content provided by Library of Economics and Liberty and Russ Roberts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Library of Economics and Liberty and Russ Roberts 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://player.fm/legal.

If the Wright Brothers could have used AI to guide their decision making, it's almost certain they would never have gotten off the ground. That's because, points out Teppo Felin of Utah State University and Oxford, all the evidence said human flight was impossible. So how and why did the Wrights persevere? Felin explains that the human ability to ignore existing data and evidence is not only our Achilles heel, but also one of our superpowers. Topics include the problems inherent in modeling our brains after computers, and the value of not only data-driven prediction, but also belief-driven experimentation.

  continue reading

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