AI Study Claims Human Fingerprints Aren't Actually Unique

Old Prints, New Tricks New research suggests that our fingerprints aren’t actually unique, in what could potentially be a blow to a long-held cornerstone of forensic science. The work, published as a study in the journal Science Advances, involved using a type of AI model commonly used for facial recognition, which the researchers configured to look for patterns and identifiers in fingerprints that humans may be overlooking. And that, according to the researchers, is exactly what the AI did, identifying whether prints from different types of fingers came from the same person with 75 to 90 percent accuracy, the BBC reported. “It is clear that it isn’t using traditional markers that forensics have been using for decades,” study co-author Hod Lipson, a roboticist at Columbia University, told the broadcaster. Beyond the Minutiae The researchers trained their AI model on a database of 60,000 fingerprints. Lead author Gabe Guo, a senior undergrad at Columbia University, told CNN that the AI was able to look beyond finger features known as “minutiae” that detectives have relied on for centuries. “They are great for fingerprint matching, but not reliable for finding correlations among fingerprints from the same person,” Guo told the network. Instead, the AI homed in on the angles and curvatures of the swirls at the center. In theory, these insights could be used to link fingerprints of different types found across multiple crime scenes to the same person. “This won’t just help catch more criminals,” Guo told CNN. “This will also actually…AI Study Claims Human Fingerprints Aren't Actually Unique

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