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Witnesses warn AI surveillance and bias could deepen inequities in schools without federal oversight
Summary
Experts and lawmakers told a House subcommittee that unchecked classroom surveillance, biased algorithms and cuts to Department of Education enforcement resources risk reinforcing disparities for students of color and those with disabilities.
At a House Education and Labor subcommittee hearing on Oct. 12, 2025, lawmakers and witnesses raised civil‑rights alarms about the use of AI surveillance and algorithmic decision tools in schools and the consequences of reduced federal oversight.
Representative Mary Lee (remarks during hearing) and Representative Lee of Pennsylvania highlighted studies and surveys showing disproportionate harms from automated surveillance and predictive tools: “AI often reinforces the same implicit and explicit biases that humans carry,” Representative Lee said, warning that surveillance tools such as facial…
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