Fung and Lessig: How AI Could Take Over Elections

Posted on June 8, 2023 by Owen Shaffer

An article in Scientific American by Archon Fung and Lawrence Lessig presents a parallel approach to my research on democracy and artificial intelligence. Citizens’ assemblies are a good way to fix this, by solving emotionally charged issues prior to an election. Even better, nested assemblies could replace much of the election process.

Sen. Josh Hawley asked OpenAI CEO Sam Altman this question in a May 16, 2023, U.S. Senate hearing on artificial intelligence. Altman replied that he was indeed concerned that some people might use language models to manipulate, persuade and engage in one-on-one interactions with voters.

Here’s the scenario Altman might have envisioned/had in mind: Imagine that soon, political technologists develop a machine called Clogger – a political campaign in a black box. Clogger relentlessly pursues just one objective: to maximize the chances that its candidate – the campaign that buys the services of Clogger Inc. – prevails in an election.

As a political scientist and a legal scholar who study the intersection of technology and democracy, we believe that something like Clogger could use automation to dramatically increase the scale and potentially the effectiveness of behavior manipulation and microtargeting techniques that political campaigns have used since the early 2000s. Just as advertisers use your browsing and social media history to individually target commercial and political ads now, Clogger would pay attention to you – and hundreds of millions of other voters – individually.

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