| Generative AI will have a massive impact on global politics, already sowing discord with fake news, fake debates, and even fake avatars for real candidates. But how bad could it really get? In a reporting series published today, POLITICO’s Mark Scott finds some cause for alarm. The U.S. presidential race is just one of 50 elections happening this year, and AI-generated images and audio meant to mislead, persuade or just plain confuse voters are poised to sweep across the globe as governments struggle to catch up. Mark invokes a litany of such examples, including but not limited to: Fake audio of British Labour Party leader Keir Starmer berating his staff; Robocalls with an AI-generated “Joe Biden” discouraging voters from participating in a New Hampshire primary; a fake “Tom Cruise” criticizing the Paris Olympics as part of a Russian propaganda effort; and even deepfake pornography of a Northern Ireland assembly member. And the companies helping to develop powerful AI models are struggling to keep up: “People are constantly coming up with new ways to try [to] break the systems,” Natasha Crampton, chief responsible AI officer at Microsoft, told Mark. (Microsoft is a major backer of both OpenAI and Mistral, putting it at the center of efforts to combat false or harmful AI-generated content.) But Mark also found in interviews with national security officials, tech executives and watchdog groups that while they view AI-generated deepfakes as a vexing tool for bad political actors, it’s also just that — one tool in the toolbox. Josh Lawson of the Aspen Institute’s AI Elections Initiative told Mark his group has found little concrete evidence of AI fakes directly changing voter behavior, and another researcher said that more egregiously fake content like imagery of former President Donald Trump surrounded by gleeful Black supporters wasn’t “successful in the wild.” Mark and POLITICO visual producer Lucia Mackenzie captured the public perception of AI-generated election material in a series of visual charts based on Ipsos polling, finding significant global divides when it comes to how people view the technology. Notably, they find that people in developing economies where the disruption of the smartphone is still a recent memory say they understand AI better than their counterparts in developed countries, and are more sanguine about AI overall to boot. Those people are also more confident in their ability to distinguish between real news and AI deepfakes. The top five countries for confidence in that ability (in descending order) are Indonesia, South Africa, Turkey, Thailand, and Brazil; the bottom five are France, Spain, the United States, Germany, and South Korea. Mark and Lucia also drew on polling by KFF, and the Associated Press and NORC Center for Public Affairs Research about trust in online media specifically in the U.S., and the results were not encouraging. Nearly 31 percent of U.S. adults, according to the KFF poll, “report feeling uncertain about the accuracy of information about the upcoming 2024 presidential election all or most of the time.” A majority of adults surveyed thought AI would bolster the spread of false information, with those more knowledgeable about AI more likely to believe this was true. …But what about you, dear reader? Forget the polls: Another part of the series published today puts your own ability to distinguish between real and AI-generated content to the test, comparing real images of world leaders and events with a series of fake ones generated by Mark using Midjourney. (Full disclosure: As someone who is, to put it reductively, paid to look at AI-generated images for much of my day, I only got 44 percent correct.) There are also a pair of sound clips comparing Mark and POLITICO editor Aoife White’s voices with AI-generated clones, although for my money, those are less convincing. When it comes to video, the team put a pair of questions to the infamous, ongoing fake livestreamed “debate” between Biden and Trump, resulting in a stream of the irreverent and vulgar retorts for which that channel is known. Those answers are purposely fake. But hazy, general estimations of a politician’s character often play more of a role in opinion formation than their actual character. For AI deepfakes to make a difference in such an environment they might not need, necessarily, to change voters’ minds — but only to help them confirm what they already wanted to believe.
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