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Archon Fung is the Winthrop Laflin McCormack Professor of Citizenship and Self-Government at the Harvard Kennedy School. His research explores policies, practices, and institutional designs that deepen the quality of democratic governance. He focuses upon public participation, deliberation, and transparency. He co-directs the Transparency Policy Project and leads democratic governance programs as director of the Ash Center for Democratic Governance and Innovation at the Kennedy School. His books include Full Disclosure: The Perils and Promise of Transparency (Cambridge University Press, with Mary Graham and David Weil) and Empowered Participation: Reinventing Urban Democracy (Princeton University Press). He has authored five books, four edited collections, and over fifty articles appearing in professional journals. He received two S.B.s — in philosophy and physics — and his Ph.D. in political science from MIT.

How AI could take over elections and undermine democracy

Archon Fung, Professor of Citizenship and Self-Government, Harvard Kennedy School, and Lawrence Lessig, Professor of Law and Leadership, Harvard University, pose the question: “Could organizations use artificial intelligence language models such as ChatGPT to induce voters to behave in specific ways? 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. Altman did not elaborate, but he might have had something like this scenario 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. While platforms like Facebook, Twitter and YouTube use forms of AI to get users to spend more time on their sites, Clogger’s AI would have a different objective: to change people’s voting behavior.

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Subjects: AI, Communications Law, Congress, Constitutional Law, KM, Legal Research, Social Media
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