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Deepfakes Are Evolving. This Company Wants to Catch Them All
Hany Farid, a leading expert on image and video manipulation, says that detecting deepfakes will take more than AI alone.
Some Fortune 500 companies have begun testing software that can spot a deepfake of a real person in a live video call, following a spate of scams involving fraudulent job seekers who take a signing bonus and run. Creating this type of a deepfake typically involves using a mix of machine learning and face-tracking algorithms to seamlessly stitch a fake face onto a real one, allowing an interloper to control what an illicit likeness appears to say and do on screen. Other tools, a mix of AI and traditional forensics, help a user scrutinize an image for visual and physical discrepancies, for example highlighting shadows that point in different directions despite having the same light source, or that do not appear to match the object that cast them.
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