Massive errors found in facial recognition tech: US study

Washington (AFP) – Facial recognition systems can produce wildly inaccurate results, especially for non-whites, according to a US government study released Thursday that is likely to raise fresh doubts on deployment of the artificial intelligence technology. The study of dozens of facial recognition algorithms showed “false positives” rates for Asian and African American as much as 100 times higher than for whites. The researchers from the National Institute of Standards and Technology (NIST), a government research center, also found two algorithms assigned the wrong gender to black females almost 35 percent of the time. The study comes amid widespread deployment of facial recognition for law enforcement, airports, border security, banking, retailing, schools and for personal technology such as unlocking smartphones. Some activists and researchers have claimed the potential for errors is too great and that mistakes could result in the jailing of innocent people, and that the technology could be used to create databases that may be hacked or inappropriately used. The NIST study found both “false positives,” in which an individual is mistakenly identified, and “false negatives,” where the algorithm fails to accurately match a face to a specific person in a database. “A false negative might be merely an inconvenience — you can’t get into your phone, but the issue can usually be remediated by a second attempt,” said lead researcher Patrick Grother. “But a false positive in a one-to-many search puts an incorrect match on a list of candidates that warrant further scrutiny.” Jay Stanley of the American Civil Liberties Union, which has criticized the deployment of face recognition, said the new study shows the technology is not ready for wide deployment. “Even government scientists are now confirming that this surveillance technology is flawed and biased,” Stanley said in a statement. “One false match can lead to missed flights, lengthy interrogations, watchlist placements, tense police encounters, false arrests or worse. But the technology’s flaws are only one concern. Face recognition technology — accurate or not — can enable undetectable, persistent, and suspicionless surveillance on an unprecedented scale.” Nick Note: Most people are to stupid to be scared. I have facial  recognition meras. They should be outlawed. Manipulation of the results its so easy its scary. I have learned how to defeat them. But the techniques are not easy for the average bear. I can tell you for a fact that US law law enforcement authorities have already added ALL mug shots, drivers license files and face book images to their data base. Its here its now and its ugly! They are now adding ALL ALL surveillance images (even your ring door bell) to their data bases and cross matching them to put a face with a car and address…..