Dec 16, 2021

Nobel Prize-Winner Daniel Kahneman Just Explained What He’s Learned About AI Outsmarting Humans

Posted by in category: robotics/AI

That was a key takeaway from a conversation between economist Daniel Kahneman and MIT professor of brain and cognitive science Josh Tenenbaum at the Conference on Neural Information Processing Systems (NeurIPS) recently. The pair spoke during the virtual event about the shortcomings of humans and what we can learn from them while building A.I.

Kahneman, a Nobel Prize winner in economic sciences and the author of Thinking, Fast and Slow, noted an instance in which humans use judgment heuristics—shortcuts, essentially—to answer questions they don’t know the answer to. In the example, people are given a small amount of information about a student: She’s about to graduate, and she was reading fluently when she was 4 years old. From that, they’re asked to estimate her grade point average.

Using this information, many people will estimate the student’s GPA to be 3.7 or 3.8. To arrive there, Kahneman explained, they assign her a percentile on the intelligence scale—usually very high, given what they know about her reading ability at a young age. Then they assign her a GPA in what they estimate to be the corresponding percentile.

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