Requires the Secretary of Education to regulate AI use in education, emphasizing student privacy. Prohibits facial recognition without consent. Develops AI integration resources for K-12 learning and prioritizes personalized AI learning research. Mandates contracts ensure student data privacy compliance.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 5-6 subdomains, with strong focus on privacy compromise (2.1), loss of agency and autonomy (5.2), and minimal to moderate coverage of fraud/manipulation (4.3), overreliance (5.1), increased inequality (6.2), and lack of transparency (7.4). Coverage is concentrated in privacy protection, student and parental autonomy, and educational equity domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This legislation primarily governs the Educational Services sector with comprehensive requirements for K-12 and postsecondary institutions. It secondarily regulates the Information sector through requirements on educational technology providers, data processing companies, and telecommunications services. Professional and Technical Services are also covered through provisions affecting IT consultants and education technology service providers.
Hard Law
Legislative Status Summary
This is a binding legal instrument enacted by Congress with clear enforcement mechanisms through the Secretary of Education, including prohibition of federal funding to non-compliant educational institutions and mandatory requirements throughout.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily focuses on Deploy and Operate and Monitor stages, with significant coverage of Collect and Process Data and Plan and Design stages. It addresses AI integration in educational settings including deployment requirements, ongoing monitoring, data privacy throughout collection and processing, and planning criteria for AI development.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems, artificial intelligence technologies, and personalized learning AI. It specifically addresses facial recognition AI systems. While it refers to educational AI and adaptive learning systems, it does not explicitly mention frontier AI, general purpose AI, foundation models, open-weight models, or compute thresholds. The focus is on task-specific educational AI applications.
Document data from AGORA, CSET Emerging Technology Observatory.