ANN ARBOR, Mich. Facial recognition technology should not be in schools, according to a new study out of the University of Michigan. Conducted at the University of Michigans Gerald R. Ford School of Public Policy, authors of the Cameras in the Classroom report recommend that the technology be banned from use in schools. The report states that use of facial recognition in schools would potentially exacerbate existing racial bias as facial recognition algorithms have higher inaccuracy rates with people of color. The study noted the marginalization of nonconforming students, commodifying data and a lack of regulation were additional factors in banning facial recognition in schools. Cameras in the Classroom: Facial Recognition Technology in Schools is a part of the U-M Ford Schools Science, Technology, and Public Policy Program Technology Assessment Project, a think-tank that works to understand the implications of emerging technology and provide evidence-based insight for policy development.