{"id":2882,"date":"2024-01-15T11:42:32","date_gmt":"2024-01-15T03:42:32","guid":{"rendered":"https:\/\/www.1ai.net\/?p=2882"},"modified":"2024-01-15T11:45:24","modified_gmt":"2024-01-15T03:45:24","slug":"%e6%95%99%e8%82%b2%e9%83%a8%ef%bc%9a%e5%85%ac%e7%a4%ba184%e4%b8%aa%e4%b8%ad%e5%b0%8f%e5%ad%a6ai%e6%95%99%e8%82%b2%e5%9f%ba%e5%9c%b0%e5%90%8d%e5%8d%95","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/2882.html","title":{"rendered":"AI research shows human fingerprints are not unique"},"content":{"rendered":"<p>A recent study suggests that human fingerprints may not be what traditional forensic science believes.<span class=\"spamTxt\">unique<\/span>The study used a technique commonly used in facial recognition.<a href=\"https:\/\/www.1ai.net\/en\/tag\/ai%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [AI models]]\" target=\"_blank\" >AI Models<\/a>The team, which is based in Cambridge, Massachusetts, and has developed a new algorithm that can detect fingerprints in people with different backgrounds. The algorithm, trained on more than 60,000 fingerprints, found the overlooked similarities. The findings, published in the journal Science Advances, call into question a long-standing mainstay of forensic science.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2893\" title=\"201812181638168734_0\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/01\/201812181638168734_0.jpg\" alt=\"201812181638168734_0\" width=\"600\" height=\"400\" \/><\/p>\n<p>The research team reportedly used an AI model to analyze patterns and identifiers in fingerprints, with an accuracy of more than 75% to 90% to determine whether different types of fingerprints came from the same person. &quot;Obviously, it doesn&#039;t use the traditional markers that forensic science has been using for decades,&quot; said Hod Lipson, a roboticist at Columbia University and co-author of the study.<\/p>\n<p>The researchers abandoned traditional forensic methods that rely on &quot;minutiae&quot; when training an AI model, and instead focused on the angle and curvature of the vortex at the center of the fingerprint. In theory, these insights could be used to link different types of fingerprints found at multiple crime scenes to the same person.<\/p>\n<p>However, this view has been strongly opposed by forensic scientists, especially the research team without background in this field. Simon Cole, professor of forensic science, law and society at the University of California, Los Angeles, is one of the critics. He believes that these findings do not overturn current forensic technology: &quot;We are not &#039;wrong&#039; about the fingerprints, and even if the fingerprints are found to be similar, it does not overturn the unproven but intuitively correct statement that &#039;no two fingerprints are exactly the same.&#039;&quot; He added: &quot;Fingerprints of different people, as well as fingerprints of the same person, have long been known to be similar.&quot;<\/p>\n<p>Gabe Guo, the study&#039;s lead author and a senior undergraduate at Columbia University, remained firm in the face of criticism, insisting that their findings were &quot;irrefutable.&quot; He stressed that AI will revolutionize other areas of analysis, saying: &quot;We will see people using AI to discover things that have always been right in front of us, like our fingers.&quot;<\/p>","protected":false},"excerpt":{"rendered":"<p>A recent study suggests that human fingerprints may not be as unique as traditional forensic science would have us believe. The study used an AI model commonly used for facial recognition to uncover overlooked similarities by training on over 60,000 fingerprints. The findings, published in the journal Science Advances, raise questions about the long-standing pillars of courtroom science. According to the report, the research team used AI models to analyze patterns and identifiers in fingerprints, exceeding 75% to 90% accuracy to determine whether different types of fingerprints were from the same person. Study co-author Hod Lipson, a roboticist at Columbia University, said, \"It's clear that it's not using the traditional markers that courtroom science has been using for decades.\" The researchers were training the AI model<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[167],"collection":[],"class_list":["post-2882","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2882","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=2882"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2882\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=2882"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=2882"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=2882"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=2882"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}