How Humans Judge Machines

from Azeem Azhar's Exponential View · host EPIIPLUS 1 Ltd / Azeem Azhar

“People judge humans by their intentions, and machines by the outcome,” says physicist and author Cesar Hidalgo. He is one of the creators of the field of Complexity Economics. Hidalgo joins Azeem Azhar to explain how he applies this complexity approach to understanding how we judge decision-making in machines. They also discuss: What the Shenzhen electronics market reveals about the economics of megacities. How we unconsciously ascribe morality to machines, and what this implies for innovation. Algorithmic aversion and how it will influence the implementation of AI. Further reading: “A Bold Idea to Replace Politicians” (TED, 2018) “The Autonomous Economy” (Exponential View podcast, 2019) @cesifoti @azeem @exponentialview Exponential View newsletter Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What this episode covers

Physicist and author, Cesar Hidalgo joins Azeem Azhar to discuss how understanding knowledge leads to insights on everything from the economic value of megacities to how to moralize machines.

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How Humans Judge Machines

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This episode was published on March 4, 2020.

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