“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:
<ul>
<li>What the Shenzhen electronics market reveals about the economics of megacities.</li>
<li>How we unconsciously ascribe morality to machines, and what this implies for innovation.</li>
<li>Algorithmic aversion and how it will influence the implementation of AI.</li>
</ul>
Further reading:
<ul>
<li>“<a href="https://www.ted.com/talks/cesar_hidalgo_a_bold_idea_to_replace_politicians" target="_blank" rel="noopener">A Bold Idea to Replace Politicians</a>” (TED, 2018)</li>
<li>“<a href="https://hbr.org/podcast/2019/06/the-autonomous-economy" target="_blank" rel="noopener">The Autonomous Economy</a>” (Exponential View podcast, 2019)</li>
</ul>
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<a href="https://twitter.com/azeem" target="_blank" rel="noopener">@azeem</a> 
<a href="https://twitter.com/exponentialview" target="_blank" rel="noopener">@exponentialview</a>
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Welfare in the Exponential Age

How will the future unfold? What is the impact of AI and other exponential technologies on business & society? Join Azeem Azhar, founder of Exponential View, on his quest to demistify the era of exponential change.