UK police force presses pause on live facial recognition after study finds racial bias

Summary

A UK police force has suspended its deployment of live facial recognition (LFR) technology after a study revealed it was statistically more likely to identify Black people on a watchlist database. Essex Police said it had paused use of the technology to update the system with the help of the algorithm software provider. Another similar study identified no bias, it said. The report from Cambridge University researchers found the Essex police system was more likely to correctly identify men than women and was statistically significantly more likely to correctly identify Black participants than participants from other ethnic groups. Microsoft doesn't want cops using Azure AI for facial recognition READ MORE Police forces can use LFR to identify people on a pre-configured watchlist, usually made up of criminals, people of interest, or missing vulnerable individuals. The study [PDF] used 188 volunteers to act as members of the public in a controlled field experiment during a real police deployment. Because the researchers knew exactly who was present, it was possible to measure both correct and missed identifications. It found that at the "current operational setting" used by Essex Police, the system correctly identified around half of the people on the watchlist who passed the cameras and that incorrect identifications were "extremely rare." "Of the six false positive identifications observed in this test, four involved Black individuals. Given that observations of Black subjects constituted 536/2,251 (23.8 per cent) of the sample, the observed imbalance is unlikely to be due to chance alone but this could reflect the limited number of false positive events rather than a true systematic effect," it said. The finding should be treated as suggestive rather than conclusive, it added. A spokesperson for Essex Police said that as part of a commitment to its Public Sector Equality Duty, it had commissioned two independent studies which were completed by academia. "The first o...