Rashawn Ray and Rebekah Boitey examine how AI surveillance systems, including weapon-detection cameras and audio-monitoring devices, are expanding in American schools, often without proven reliability. They document that these tools are deployed disproportionately in large urban schools serving low-income and minority students, raising concerns about algorithmic bias and intensified policing of students of color. The authors call for privacy boundaries, independent vendor validation, community engagement before deployment, and limits on predictive scoring systems that feed academic records into law-enforcement contexts.
