AI, Elections, and the Liar’s Dividend

Bob interviews Nate Persily, the James B. McClatchy Professor of Law at Stanford Law School and co-director of the Stanford Law AI Initiative, about artificial intelligence and democracy, with particular attention to elections. They discuss what’s driving American anxiety about AI, why Republican and Democratic users alike rate AI models as left of center, and why Persily thinks the greater danger from deepfakes is not voters who are fooled but voters who stop believing what’s true—the “liar’s dividend.” They also take up the risks of relying on chatbots for voting information, state laws requiring disclosure of AI in political ads, and why Persily, though not “an unrepentant doomer,” thinks the time to regulate AI may be running out rapidly.

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