Cameras in the Classroom: Facial Recognition Technology in Schools
Claire Galligan, Hannah Rosenfeld, Molly Kleinman, & Shobita Parthasarathy (University of Michigan)
Facial Recognition can be used to identify people in photos, videos, and in real time, and is usually framed as more efficient and accurate than other forms of identity verification. Schools have also begun to use it to track students and visitors for a range of uses, from automating attendance to school security. However, a growing body of evidence suggests that it will erode individual privacy and disproportionately burden people of color, women, people with disabilities, and trans and gender non-conforming people. In this report, authors focus on the use of Facial Recognition in schools because it is not yet widespread and because it will impact particularly vulnerable populations. On the basis of this analysis, the authors strongly recommend that use of Facial Recognition be banned in schools. They have also offered some recommendations for its development, deployment, and regulation if schools proceed to use the technology.