Description
Over the past decade, AI has moved right into our houses - onto our phones and smart speakers - and grown in sophistication. But many AI systems lack something we humans take for granted: common sense. In this episode Emily talks to MacArthur Fellowship-winner Yejin Choi, one of the leading thinkers on natural language processing, about how she's teaching machines to make inferences about the real world.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy
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