Gerd Gigerenzer on How to Stay Smart in a Smart World

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4.7 • 4.3K Ratings

🗓️ 1 August 2022

⏱️ 69 minutes

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Summary

IBM's super-computer Watson was a runaway success on Jeopardy! But it wasn't nearly as good at diagnosing cancer. This came as no surprise to Max Planck Institute psychologist Gerd Gigerenzer, who argues that when it comes to life-and-death decisions, we'll always need real, not artificial, brains. Listen as the author of How to Stay Smart in a Smart World tells EconTalk host Russ Roberts why computers aren't nearly as smart as we think. But, Gigerenzer says, human beings need to get smarter in order to avoid being manipulated by people who use AI for their own ends.

Transcript

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0:00.0	Welcome to Econ Talk, Conversations for the Curious, part of the Library of Economics and Liberty.
0:07.8	I'm your host, Russ Roberts of Shalem College in Jerusalem and Stanford University's Hoover
0:12.7	Institution.
0:13.7	Go to econtalk.org where you can subscribe, comment on this episode and find links down
0:18.6	the information related to today's conversation.
0:21.4	You'll also find our archives with every episode we've done going back to 2006.
0:26.8	Our email address is mail at econtalk.org.
0:30.3	We'd love to hear from you.
0:37.8	Today is July 8th, 2022 and my guest is Gared Gigerenser.
0:41.8	Gared was last year in December of 2019, talking about his book Gut Feelings.
0:47.8	His newest book is our topic for today.
0:50.4	How to stay smart in a smart world while human intelligence still beats algorithms.
0:55.9	Gared welcome back to econtalk.
0:57.4	I'm glad to be back and to talk to you again.
1:02.2	My pleasure.
1:03.2	You say at one point, you write a lot about artificial intelligence and you say at one
1:08.4	point that AI, artificial intelligence lacks common sense, explain.
1:15.8	So common sense has been underestimated in psychology, in philosophy, always else.
1:24.3	And it's a great contribution of AI to realize how difficult a common sense is to be modeled.
1:32.0	So what that means is that, for instance, Alpha Zero can beat every human in chess and
1:40.0	go, but it doesn't know that there is a game that's called chess or go.
1:47.5	So a deep neural network in order to learn to distinguish pictures of, say, school buses
	...

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