Jun 7, 2021 • 52M

Steven Sloman: Trusting knowledge

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Artificiality is dedicated to understanding the emerging community that is humans and machines. We combine AI and big data with decision science, psychology and design to help you understand how to work better with machines and your fellow humans.

On a scale of 1 to 10, rate how well you understand how a toilet works. Now, take a moment to explain how it works. Now, after you’ve tried to explain it, does your rating of how well you understand change? If you’re like most people, the act of trying to explain will highlight that you don’t understand it as well as you thought you did. This is called the Knowledge Illusion and it’s where we feel we know more than we do because we get our knowledge from our community—both human and machine. What’s so interesting about this illusion is that it says so much about how we should approach others and it also says a lot about how we should approach having our knowledge inside of machines. We talked with Steven Sloman, Professor of Cognitive, Linguistic and Psychological Sciences at Brown University who, along with Philip Fernbach, popularized this idea in a book called the Knowledge Illusion. How does a conscious recognition of our knowledge being derived from our community affect our experience in the world?