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As social media guardrails fade and AI deepfakes go mainstream, experts warn of impact on elections

by Web Desk
2 years ago
in Tech, Technology, Top News
As social media guardrails fade and AI deepfakes go mainstream, experts warn of impact on elections
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NEW YORK (news agencies) — Nearly three years after rioters stormed the U.S. Capitol, the false election conspiracy theories that drove the violent attack remain prevalent on social media and cable news: suitcases filled with ballots, late-night ballot dumps, dead people voting.

Experts warn it will likely be worse in the coming presidential election contest. The safeguards that attempted to counter the bogus claims the last time are eroding, while the tools and systems that create and spread them are only getting stronger.

Many Americans, egged on by former President Donald Trump, have continued to push the unsupported idea that elections throughout the U.S. can’t be trusted. A majority of Republicans (57%) believe Democrat Joe Biden was not legitimately elected president.

Meanwhile, generative artificial intelligence tools have made it far cheaper and easier to spread the kind of misinformation that can mislead voters and potentially influence elections. And social media companies that once invested heavily in correcting the record have shifted their priorities.

“I expect a tsunami of misinformation,” said Oren Etzioni, an artificial intelligence expert and professor emeritus at the University of Washington. “I can’t prove that. I hope to be proven wrong. But the ingredients are there, and I am completely terrified.”

Manipulated images and videos surrounding elections are nothing new, but 2024 will be the first U.S. presidential election in which sophisticated AI tools that can produce convincing fakes in seconds are just a few clicks away.

The fabricated images, videos and audio clips known as deepfakes have started making their way into experimental presidential campaign ads. More sinister versions could easily spread without labels on social media and fool people days before an election, Etzioni said.

“You could see a political candidate like President Biden being rushed to a hospital,” he said. “You could see a candidate saying things that he or she never actually said. You could see a run on the banks. You could see bombings and violence that never occurred.”

High-tech fakes already have affected elections around the globe, said Larry Norden, senior director of the elections and government program at the Brennan Center for Justice. Just days before Slovakia’s recent elections, AI-generated audio recordings impersonated a liberal candidate discussing plans to raise beer prices and rig the election. Fact-checkers scrambled to identify them as false, but they were shared as real across social media regardless.

These tools might also be used to target specific communities and hone misleading messages about voting. That could look like persuasive text messages, false announcements about voting processes shared in different languages on WhatsApp, or bogus websites mocked up to look like official government ones in your area, experts said.

Faced with content that is made to look and sound real, “everything that we’ve been wired to do through evolution is going to come into play to have us believe in the fabrication rather than the actual reality,” said misinformation scholar Kathleen Hall Jamieson, director of the Annenberg Public Policy Center at the University of Pennsylvania.

Republicans and Democrats in Congress and the Federal Election Commission are exploring steps to regulate the technology, but they haven’t finalized any rules or legislation. That’s left states to enact the only restrictions so far on political AI deepfakes.

A handful of states have passed laws requiring deepfakes to be labeled or banning those that misrepresent candidates. Some social media companies, including YouTube and Meta, which owns Facebook and Instagram, have introduced AI labeling policies. It remains to be seen whether they will be able to consistently catch violators.

It was just over a year ago that Elon Musk bought Twitter and began firing its executives, dismantling some of its core features and reshaping the social media platform into what’s now known as X.

Since then, he has upended its verification system, leaving public officials vulnerable to impersonators. He has gutted the teams that once fought misinformation on the platform, leaving the community of users to moderate itself. And he has restored the accounts of conspiracy theorists and extremists who were previously banned.

The changes have been applauded by many conservatives who say Twitter’s previous moderation attempts amounted to censorship of their views. But pro-democracy advocates argue the takeover has shifted what once was a flawed but useful resource for news and election information into a largely unregulated echo chamber that amplifies hate speech and misinformation.

Twitter used to be one of the “most responsible” platforms, showing a willingness to test features that might reduce misinformation even at the expense of engagement, said Jesse Lehrich, co-founder of Accountable Tech, a nonprofit watchdog group.

“Obviously now they’re on the exact other end of the spectrum,” he said, adding that he believes the company’s changes have given other platforms cover to relax their own policies. X didn’t answer emailed questions from media, only sending an automated response.

In the run-up to 2024, X, Meta and YouTube have together removed 17 policies that protected against hate and misinformation, according to a report from Free Press, a nonprofit that advocates for civil rights in tech and media.

In June, YouTube announced that while it would still regulate content that misleads about current or upcoming elections, it would stop removing content that falsely claims the 2020 election or other previous U.S. elections were marred by “widespread fraud, errors or glitches.” The platform said the policy was an attempt to protect the ability to “openly debate political ideas, even those that are controversial or based on disproven assumptions.”

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