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Lawmakers warn AI adoption could deepen inequities; civil‑rights enforcement and data infrastructure cited as critical
Summary
Members and witnesses at a House subcommittee hearing raised concerns that without federal leadership and data infrastructure, AI deployment in schools could worsen existing disparities and expand surveillance, particularly affecting students of color, students with disabilities, and low‑income communities.
Members of both parties discussed equity risks as AI tools enter K–12 classrooms. Representative Suzanne Bonamici and other Democrats emphasized that recent cuts to Department of Education capacity — including the Office of Educational Technology and reductions at the Institute of Education Sciences — jeopardize research, student privacy protections and civil‑rights enforcement.
"Without a robust and equitable funding system with a strong accountability framework, the digital…
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