Deepfakes Are Running Rampant as Tools to Detect Them Lag Behind
It’s getting easier to manipulate images but there’s little financial incentive for companies to invest in tools to detect fakes
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Artificial intelligence is now so powerful it can trick people into believing an image of Pope Francis wearing a white puffy Balenciaga coat is real, but the digital tools to reliably identify faked images are struggling to keep up with the pace of content generation.
Just ask the researchers at Deakin University’s School of Information Technology, outside of Melbourne. Their algorithm performed the best in identifying the altered images of celebrities in a set of so-called deepfakes last year, according to Stanford University’s Artificial Intelligence Index 2023.