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Illustration: Sarah Grillo/Axios

Tech giants, startups and academic labs are pumping out datasets and detectors in hopes of jump-starting the effort to create an automated system that can separate real videos, images and voice recordings from AI forgeries.

Why it matters: Algorithms that try to detect deepfakes lag behind the technology that creates them — a worrying imbalance given the technology's potential to stir chaos in an election or an IPO.

Driving the news: Dessa, the AI company behind the hyper-convincing fake Joe Rogan voice from earlier this summer, published a tool today for detecting deepfake audio — the kind that recently scammed a CEO out of $240,000.

  • The new detector, which Axios is reporting first, is open source, so anybody can go through the code for free to understand and potentially improve it.
  • But the company gets something out of it: The detector is built on a Dessa platform, which you have to download (without paying) to set it up.

The big picture: There's an all-hands scramble for better detectors, which generally require a lot of really good examples of deepfakes. Researchers use them to train algorithms that can tell if media was created by AI.

  • Yesterday, SUNY Albany deepfake expert Siwei Lyu released a dataset filed with celebrity deepfakes.
  • Earlier in the week, Google and Jigsaw — both owned by parent company Alphabet — released a large set of video deepfakes.
  • And earlier this month, Facebook, Microsoft and the Partnership on AI teamed up with academic researchers to release more deepfake videos — and offer a prize to the team that uses them to make the best detector.

Unlike these datasets, which allow researchers to cook up their own detectors, Dessa is releasing a pre-baked system — which has advantages and risks.

  • The company felt a responsibility to release an antidote after it made the realistic Rogan voice, says Ragavan Thurairatnam, Dessa's co-founder.
  • "I think it's inevitable that malicious actors are going to move much faster than those who want to stop it," he tells Axios. The free detector is a "starting point" for people to push detection forward.

But, but, but: Thurairatnam acknowledged that an open-source detector could help a particularly determined troll create new audio fakes that fool it. That's because generative AI systems can be trained to trick a specific detector.

  • He argues that the potential for creating better detectors outweighs the probability that someone will misuse Dessa's code.
  • But Lyu of SUNY Albany says there's some reason to worry. "In principle, such code will help both but probably more for making better generators."

Go deeper: Researchers struggle with containing potentially harmful AI

Go deeper

1 hour ago - World

Sudanese government says it put down coup attempt

Prime Minister Abdullah Hamdok (L) and Sovereign Council Chief Gen. Abdel Fattah al-Burhan. Photo: Ashraf Shazly/AFP via Getty

The Sudanese government announced on Tuesday morning that its military and security services had foiled an attempted coup from within the country’s armed forces.

Why it matters: The apparent coup attempt comes with Sudan’s transitional government — in which power is shared between civilians and generals — facing crises on several fronts two years after dictator Omar al-Bashir was toppled in a popular uprising.

2 hours ago - Health

Johnson & Johnson says booster shot increases efficacy of COVID vaccine

Syringes and a vial of the Johnson and Johnson COVID-19 vaccine in French Polynesia on Sept. 8. Photo: Jerome Brouillet/AFP via Getty Images

Johnson & Johnson said in a press release Tuesday a global study showed that the protection offered by its coronavirus vaccine was strengthened by a booster shot.

Why it matters: While J&J has not formally applied for authorization to offer booster shots to the general public, it said it has shared the results of the study with the Food and Drug Administration and plans to share it with the World Health Organization and other health regulators.

3 hours ago - World

U.K. prosecutors charge third person in poisoning of former Russian spy

Emergency services members in biohazard encapsulated suits encasing the poisoning scene in a tent in Salisbury, England, in March 2018. Ben Stansall/AFP via Getty Images

U.K. prosecutors said they had enough evidence to charge Denis Sergeev, a member of the Russian military intelligence service, in the 2018 Salisbury nerve agent attack against a former Russian spy, according to AP.

Why it matters: Sergeev is the third person to face charges for the nerve agent attack against Sergei Skripal and his daughter, Yulia, both of whom survived.