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House Education and Labor hearing examines AI in classrooms and workplaces, spotlighting certifications, privacy and bias concerns
Summary
Witnesses from OpenAI, Magic School AI, the Center for Democracy & Technology and academic fellows told the House Education and Labor Committee that AI can boost personalized learning and worker productivity but requires stronger transparency, educator training and federal guidance to protect students and guard against bias and job disruption.
A House Education and Labor Committee hearing on July 23, 2025, focused on how artificial intelligence is changing K–12 classrooms and the workforce, with witnesses urging both investment in skills and clearer rules to protect privacy and civil rights.
Panelists at the hearing included Chaya Nayak of OpenAI, who outlined a certification and jobs platform intended to "certify 10,000,000 Americans by 2030" to connect AI-trained workers with employers; Adeel Khan, founder of Magic School AI and a former K–12 educator, who urged purpose-built classroom tools, human oversight and explicit guardrails for student data; Alexandra Reeve Givens of the Center for Democracy & Technology, who called for rigorous testing, transparency and restored agency guidance; and Kevin Frazier, an academic fellow, who recommended better, more frequent labor-market data to inform updates to laws such as the Fair Labor Standards Act.
Why it matters: Members on both sides of the aisle…
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