While the sort of hacks that grab Congress’ attention usually involve computer intrusions, Harvard’s Nathan E. Sanders and Bruce Schneier warn that lobbyists catering to narrow interests with AI-powered microlegislation will game the policymaking system.
Proposing policy, assessing its positive impact and negative consequences, and crafting a strategy to turn the proposal into law are functions of lobbying that the technologists say AI tools can perform efficiently. Mr. Sanders is a data scientist affiliated with Harvard University’s Berkman Klein Center. Mr. Schneier is a security-focused technologist who lectures at the Harvard Kennedy School, where he is also a fellow.
He said the same artificial intelligence that generates legislative text could be used to develop detection tools to spot text not written by a human, but he noted wealthy interests may be best positioned to utilize generative and detection tools.
They already have Congress people and their staffs to do that.
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