Creating realistic deepfakes getting easier than ever, fighting back may take even more AI
Responding to the challenge will require laws, better digital literacy and technical solutions that fight AI with more AI.
"As humans, we are remarkably susceptible to deception," said Vijay
Balasubramaniyan
, CEO and founder of the tech firm
Pindrop
Security. But he believes solutions to the challenge of deepfakes may be within reach: "We are going to fight back."
AI deepfakes become a national security threat
This summer, someone used AI to create a deepfake of Secretary of State Marco Rubio in an attempt to reach out to foreign ministers, a US senator and a governor over text, voice mail and the Signal messaging app.
In May someone impersonated Trump's chief of staff, Susie Wiles.
Another phony Rubio had popped up in a deepfake earlier this year, saying he wanted to cut off Ukraine's access to Elon Musk's Starlink internet service. Ukraine's government later rebutted the false claim.
The national security implications are huge: People who think they're chatting with Rubio or Wiles, for instance, might discuss sensitive information about diplomatic negotiations or military strategy.
"You're either trying to extract sensitive secrets or competitive information or you're going after access, to an email server or other sensitive network," Kinny Chan, CEO of the cybersecurity firm QiD, said of the possible motivations.
Synthetic media can also aim to alter behaviour. Last year, Democratic voters in New Hampshire received a robocall urging them not to vote in the state's upcoming primary. The voice on the call sounded suspiciously like then-President Joe
Biden
but was actually created using AI.
Their ability to deceive makes AI deepfakes a potent weapon for foreign actors. Both Russia and China have used disinformation and propaganda directed at Americans as a way of undermining trust in democratic alliances and institutions.
Steven
Kramer
, the political consultant who admitted sending the fake Biden robocalls, said he wanted to send a message of the dangers deepfakes pose to the American political system. Kramer was acquitted last month of charges of voter suppression and impersonating a candidate.
"I did what I did for USD 500," Kramer said. "Can you imagine what would happen if the Chinese government decided to do this?"
Scammers target the financial industry with deepfakes
The greater availability and sophistication of the programmes mean deepfakes are increasingly used for corporate espionage and garden variety fraud.
"The financial industry is right in the crosshairs," said Jennifer Ewbank, a former deputy director of the CIA who worked on cybersecurity and digital threats. "Even individuals who know each other have been convinced to transfer vast sums of money."
In the context of corporate espionage, they can be used to impersonate CEOs asking employees to hand over passwords or routing numbers.
Deepfakes can also allow scammers to apply for jobs - and even do them - under an assumed or fake identity. For some this is a way to access sensitive networks, to steal secrets or to install ransomware. Others just want the work and may be working a few similar jobs at different companies at the same time.
Authorities in the US have said that thousands of North Koreans with information technology skills have been dispatched to live abroad, using stolen identities to obtain jobs at tech firms in the US and elsewhere.
The workers get access to company networks as well as a paycheck. In some cases, the workers install ransomware that can be later used to extort even more money.
The schemes have generated billions of dollars for the North Korean government.
Within three years, as many as 1 in 4 job applications is expected to be fake, according to research from Adaptive Security, a cybersecurity company.
"We've entered an era where anyone with a laptop and access to an open-source model can convincingly impersonate a real person," said Brian Long, Adaptive's CEO. "It's no longer about hacking systems - it's about hacking trust."
Experts deploy AI to fight back against AI
Researchers, public policy experts and technology companies are now investigating the best ways of addressing the economic, political and social challenges posed by deepfakes.
New regulations could require tech companies to do more to identify, label and potentially remove deepfakes on their platforms. Lawmakers could also impose greater penalties on those who use digital technology to deceive others - if they can be caught.
Greater investments in digital literacy could also boost people's immunity to online deception by teaching them ways to spot fake media and avoid falling prey to scammers.
The best tool for catching AI may be another AI programme, one trained to sniff out the tiny flaws in deepfakes that would go unnoticed by a person.
Systems like Pindrop's analyse millions of datapoints in any person's speech to quickly identify irregularities. The system can be used during job interviews or other video conferences to detect if the person is using voice cloning software, for instance.
Similar programmes may one day be commonplace, running in the background as people chat with colleagues and loved ones online. Someday, deepfakes may go the way of email spam, a technological challenge that once threatened to upend the usefulness of email, said Balasubramaniyan, Pindrop's CEO.
"You can take the defeatist view and say we're going to be subservient to disinformation," he said. "But that's not going to happen."
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