--- title: "AI Study Claims Human Fingerprints Aren’t Actually Unique" description: "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, and indeed a very widely held belief. The work, published as a study in the journal Science Advances, involved using a type of AI model commonly used for facial recognition which […]" date: "2024-01-14" modified: "2024-01-14" authors: - name: "Frank Landymore" job_title: "Contributing Writer" link: "https://futurism.com/authors/flandymore" url: "https://futurism.com/the-byte/ai-study-claims-human-fingerprints-arent-actually-unique" categories: - "Artificial Intelligence" tags: - "ai models" - "forensic science" - "forensics" - "the digest" --- # AI Study Claims Human Fingerprints Aren’t Actually Unique ![The researchers trained an AI model on over 60,000 fingerprints, finding similarities they claim have gone overlooked.]() *\Image: Getty / Futurism\* ## 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 help innocent people who might not have to be unnecessarily investigated anymore. And I think that's a win for society." ## Yesterday's News The researchers' claims have received significant pushback from forensic scientists, an area that Guo and his team had no background in before undertaking the research. One such critic is Simon Cole, a professor of criminology, law and society at the University of California who argues that these findings — which he admits are interesting — aren't necessarily anything new and are a far cry from disproving current forensic techniques. "We were not 'wrong' about fingerprints," he told *CNN*. "The unproven but intuitively true claim that no two fingerprints are 'exactly alike' is not rebutted by finding that fingerprints are similar," he added. "Fingerprints from different people, as well as from the same person have always been known to be similar." Still, Guo maintains that their findings are "incontrovertible." He remains adamant that beyond his work here, AI will revolutionize other areas of analysis. "We're going to see people using AI to discover things that were literally hiding in plain sight, right in front of our eyes, like our fingers," he told *CNN*. **More on forensics:** *[Scientists Reconstruct What You're Looking at by Enhancing Reflection in Your Eye]()* ## Author At Futurism, my work has often centered on bringing a sense of clarity and insight to complex topics ranging from the regulation of emerging technologies to the esoteric ideologies of Silicon Valley executives, while striving not to lose the poetic sense of awe inspired by often-obscure fields like astrophysics and quantum computing. I broke the story of CNET using AI to produce articles that turned out to be riddled with factual errors and plagiarism — a dam-breaking inflection point, as I've reported, that's inspired copycats and endless discourse while beguiling stakeholders ranging from tech giants to purveyors of spam around the web. My work at Futurism has been cited by publications including CBS News, the Los Angeles Times, Vice, Gizmodo, Engadget, the Verge, and Vanity Fair. I grew up in locales ranging from India to China, and now live in the exotic suburbs of Virginia. In my free time, I'm an avid reader of weird sci-fi literature, an aficionado of East Asian cinema, and, regrettably, a relapsed gamer. Allegedly, I’m working on a debut novel, currently untitled. ### Author social links [Bluesky]()