Deepfaking it: America's 2024 election collides with AI boom
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[May 30, 2023]
(Note: Strong language in paragraph 10)
By Alexandra Ulmer and Anna Tong
(Reuters) - "I actually like Ron DeSantis a lot," Hillary Clinton
reveals in a surprise online endorsement video. "He's just the kind of
guy this country needs, and I really mean that."
Joe Biden finally lets the mask slip, unleashing a cruel rant at a
transgender person. "You will never be a real woman," the president
snarls.
Welcome to America's 2024 presidential race, where reality is up for
grabs.
The Clinton and Biden deepfakes - realistic yet fabricated videos
created by AI algorithms trained on copious online footage - are among
thousands surfacing on social media, blurring fact and fiction in the
polarized world of U.S. politics.
While such synthetic media has been around for several years, it's been
turbocharged over the past year by of a slew of new "generative AI"
tools such as Midjourney that make it cheap and easy to create
convincing deepfakes, according to Reuters interviews with about two
dozen specialists in fields including AI, online misinformation and
political activism.
"It's going to be very difficult for voters to distinguish the real from
the fake. And you could just imagine how either Trump supporters or
Biden supporters could use this technology to make the opponent look
bad," said Darrell West, senior fellow at the Brookings Institution's
Center for Technology Innovation.
"There could be things that drop right before the election that nobody
has a chance to take down."
Tools that can generate deepfakes are being released with few or
imperfect guardrails to prevent harmful misinformation as the tech
sector engages in an AI arms race, said Aza Raskin, co-founder of the
Center for Human Technology, a nonprofit that studies technology's
impact on society.
Former President Donald Trump, who will vie with DeSantis and others for
the Republican nomination to face Biden, himself shared a doctored video
of CNN anchor Anderson Cooper earlier this month on his social media
platform Truth Social.
"That was President Donald J. Trump ripping us a new asshole here on
CNN's live presidential townhall," Cooper says in the footage, although
the words don't match his lip movement.
CNN said the video was a deepfake. A representative for Trump didn't
respond to a request for comment on the clip, which was still on his son
Donald Jr's Twitter page this week.
While major social media platforms like Facebook, Twitter, and YouTube
have made efforts to prohibit and remove deepfakes, their effectiveness
at policing such content varies.
DEEPFAKE PENCE, NOT TRUMP
There have been three times as many video deepfakes of all kinds and
eight times as many voice deepfakes posted online this year compared to
the same time period in 2022, according to DeepMedia, a company working
on tools to detect synthetic media.
In total, about 500,000 video and voice deepfakes will be shared on
social media sites globally in 2023, DeepMedia estimates. Cloning a
voice used to cost $10,000 in server and AI-training costs up until late
last year, but now startups offer it for a few dollars, it says.
No one is certain where the generative AI road leads or how to
effectively guard against its power for mass misinformation, according
to the people interviewed.
Industry leader OpenAI, which has changed the game in recent months with
its release of ChatGPT and the updated model GPT-4, is itself grappling
with the issue. CEO Sam Altman told Congress this month that election
integrity was a "significant area of concern" and urged rapid regulation
of the sector.
Unlike some smaller startups, OpenAI has taken steps to restrict use of
its products in politics, according to a Reuters analysis of the terms
of use of half a dozen leading companies offering generative-AI
services.
The guardrails have gaps, though.
For example, OpenAI says it prohibits its image generator DALL-E from
creating public figures - and indeed, when Reuters tried to create
images of Trump and Biden, the request was blocked and a message
appeared saying it "may not follow our content policy."
Yet Reuters was able to create images of at least a dozen other U.S.
politicians, including former Vice-President Mike Pence, who is also
weighing a White House run for 2024.
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A green wireframe model covers an
actor's lower face during the creation of a synthetic facial
reanimation video, known alternatively as a deepfake, in London,
Britain February 12, 2019. Reuters TV via REUTERS/File Photo
OpenAI also restricts any "scaled" usage of its products for
political purposes. That bans use of its AI to send out mass
personalized emails to constituents, for example.
The company, which is backed by Microsoft, explained its political
policies to Reuters in an interview but didn't respond to further
requests for comment around enforcement gaps in its policies, such
as blocking image creation of politicians.
Several smaller startups have no explicit restrictions on political
content.
Midjourney, which launched last year, is the leading player in
AI-generated images, with 16 million users on its official Discord
server. The app, which ranges from free to $60 a month depending on
factors such as picture quantity and speed, is a favorite of AI
designers and artists due to its ability to generate hyper-realistic
images of celebrities and politicians, according to four AI
researchers and creators interviewed.
Midjourney didn't respond to a request for comment for this article.
During an online chat on Discord last week, CEO David Holz said the
company would likely make changes ahead of the election to combat
misinformation.
Midjourney wants to cooperate on an industry solution to enable
traceability of AI-generated images with a digital equivalent of
watermarking and would consider blocking images of political
candidates, Holz added.
REPUBLICAN AI-GENERATED AD
Even as the industry wrestles with how to prevent misuse, some
political players are themselves seeking to harness the power of
generative AI to soup up campaigns.
So far, the only high-profile AI-generated political ad in the U.S.
was one published by the Republican National Committee in late
April. The 30-second ad, which the RNC disclosed as being entirely
generated by AI, used fake images to suggest a cataclysmic scenario
should Biden be reelected, with China invading Taiwan and San
Francisco being shut down by crime.
The RNC didn't respond to requests for comment on the ad or its
wider use of AI. The Democratic National Committee declined to
comment on its use of the technology.
Reuters polled all the Republican presidential campaigns on their
use of AI. Most did not reply, although Nikki Haley's team said they
were not using the technology and longshot candidate Perry Johnson's
campaign said it was using AI for "copy generation and iteration,"
without giving further details.
The potential for generative AI to produce campaign emails, posts
and adverts is irresistible for some activists who feel the low-cost
tech could level the playing field in elections.
Even deep in rural Hillsdale, Michigan, machine intelligence is on
the march.
Jon Smith, Republican chair for Michigan's 5th Congressional
district, is holding several educational meetings so his allies can
learn to use AI for social media and ad generation.
"AI helps us play against the big cats," he said. "I see the biggest
upswing in the local races. Someone who is 65 years old, a farmer
and county commissioner, he could easily be primaried by a younger
cat using the technology."
Political consultancies are also seeking to harness AI, further
muddying the line between real and unreal.
Numinar Analytics, a political data company that focuses on
Republican clients, has begun experimenting with AI content
generation for audio and images, as well as voice-generation to
potentially create personalized messaging in a candidate's voice,
founder Will Long said in an interview.
Democratic polling and strategy group Honan Strategy Group is
meanwhile trying to develop an AI survey bot. It hopes to unroll a
female bot in time for the 2023 municipal elections, CEO Bradley
Honan said, citing research that both men and women are more likely
to speak to a female interviewer.
(Reporting by Alexandra Ulmer and Anna Tong in San Francisco;
Additional reporting by Christina Anagnostopoulos, Zeba Siddiqui and
Jonathan Spicer; Editing by Kenneth Li, Ross Colvin and Pravin Char)
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