Facial recognition (FR) technology was long considered science fiction, but it is now part of everyday life for people all over the world. FR systems identify or verify an individual’s identity based on a digitized image alone, and are commonly used for identity verification, security, and surveillance in a variety of settings including law enforcement, commerce, and transportation. Schools have also begun to use it to track students and visitors for a range of uses, from automating attendance to school security. FR 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. 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 project, we focused on the use of facial recognition in schools because it was not yet widespread and because it would impact particularly vulnerable populations. Through an iterative process, we developed historical case studies of similar technologies, analyzed their social, economic, and political impacts, and produced recommendations for policymakers and stakeholders.
We strongly recommend that use of FR be banned in schools.
STPP's Technology Assessment Project (TAP) is a research-intensive think tank dedicated to anticipating the implications of emerging technologies and using these insights to develop better technology policies. It uses an analogical case study approach to analyze the social, economic, ethical, equity, and political dimensions of emerging technologies.
- Police use of facial recognition technology soars in Minnesota
- Schools Adopt Face Recognition in the Name of Fighting Covid
- Does Michigan Proposal 2 Go Far Enough To Protect Your Digital Data?
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- U-M study finds facial recognition technology in schools presents many problems, recommends ban
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