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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.
