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Researchers call this effect “the liar’s dividend,” and politicians have already tried to cast off unfavorable clips as AI-generated: Last month, Donald Trump falsely claimed that an attack ad had used AI to make him look bad.

“Deepfake” could become the “fake news” of 2024, an infrequent but genuine phenomenon that gets co-opted as a means of discrediting the truth

Steve Bannon’s infamous assertion that the way to discredit the media is to “flood the zone with shit.”

AI is less likely to create new dynamics than to amplify existing ones. Presidential campaigns, with their bottomless coffers and sprawling staff, have long had the ability to target specific groups of voters with tailored messaging

They might have thousands of data points about who you are, obtained by gathering information from public records, social-media profiles, and commercial brokers

“It is now so cheap to engage in this mass personalization,” Laura Edelson, a computer-science professor at Northeastern University who studies misinformation and disinformation, told me. “It’s going to make this content easier to create, cheaper to create, and put more communities within the reach of it.”

That sheer ease could overwhelm democracies’ already-vulnerable election infrastructure. Local- and state-election workers have been under attack since 2020, and AI could make things worse.

Those officials have also expressed the worry, he said, that generative AI will turbocharge the harassment they face, by making the act of writing and sending hate mail virtually effortless. (The consequences may be particularly severe for women.)

past attacks—most notably the Russian hack of John Podesta’s email, in 2016—have wrought utter havoc. But now pretty much anyone—whatever language they speak and whatever their writing ability—can send out hundreds of phishing emails in fluent English prose. “The cybersecurity implications of AI for elections and electoral integrity probably aren’t getting nearly the focus that they should,”

Just last week, AI-generated audio surfaced of one Harlem politician criticizing another. New York City has perhaps the most robust local-news ecosystem of any city in America, but elsewhere, in communities without the media scrutiny and fact-checking apparatuses that exist at the national level, audio like this could cause greater chaos.

In countries that speak languages with less online text for LLMs to gobble up, AI tools may be less sophisticated. But those same countries are likely the ones where tech platforms will pay the least attention to the spread of deepfakes and other disinformation, Edelson told me. India, Russia, the U.S., the EU—this is where platforms will focus. “Everything else”—Namibia, Uzbekistan, Uruguay—“is going to be an afterthought,”

Most of us tend to fret about the potential fake video that deceives half of the nation, not about the flood of FOIA requests already burying election officials. If there is a cost to that way of thinking, the world may pay it this year at the polls.