School Surveillance Systems Harm Students Without Improving Safety
Source: Nicholas E. Stewart. "Back to school: We’ve replaced security with the creepiest possible system.." August 21, 2026. slate.com
The Gist
The author argues that schools have installed massive AI surveillance systems—supposedly for safety—that don't actually stop violence, but do routinely punish innocent kids for private thoughts, misread objects, and their identities (especially LGBTQ+ and Black students). With legal protections against discriminatory algorithms recently gutted, the author says we need to stop trusting these machines' verdicts over the students they're judging.
Conclusion
Schools should stop treating AI surveillance systems' outputs as authoritative truth, because these systems have replaced meaningful security with a harmful, discriminatory apparatus that punishes students for their thoughts and identities rather than actual threats.
Premises
- Surveillance systems flag and punish students for innocuous behavior, such as a student suspended for deleted, unsent draft text, or a student held at gunpoint over a bag of Doritos misidentified as a weapon
- Historical evidence shows surveillance cameras did not prevent or stop the deadliest school shootings (8 of 10 deadliest shootings occurred at schools with existing camera surveillance)
- The technology's actual function is generating disciplinary paperwork about students who have done nothing wrong, not preventing violence
- When flagged by these systems, students' accounts and explanations are treated as secondary to the algorithm's 'finding,' inverting due process
- Surveillance disproportionately harms already-marginalized students, with nearly a third of LGBTQ+ students reporting being outed through monitoring, and students self-censoring their thoughts and searches once aware of monitoring
- Legal recourse for algorithmic discrimination has been weakened, as the Department of Education recently eliminated the disparate-impact standard for Title VI enforcement, removing a key tool to challenge biased outcomes from neutral-seeming policies
- This surveillance teaches an entire generation that their own account of their life is 'provisional' and that the machine's record precedes and outweighs their testimony
Assumptions
- Correlation between surveillance presence and shooting incidents implies the surveillance was ineffective at prevention (rather than, e.g., insufficient response protocols)
- The psychological/developmental harm to students (chilling effect, loss of 'illegibility') outweighs any marginal safety benefits the systems might provide
- Vendors and school administrators are motivated primarily by profit/liability optics rather than genuine safety concerns ('the pitch never changes')
- The removal of disparate-impact enforcement will in practice lead to increased unchecked algorithmic discrimination
- Individual anecdotes (the Arizona student, Taki Allen) are representative of a systemic pattern rather than isolated failures