Establishes an AI education tool pilot program for selected school districts, requiring compliance with privacy laws. Provides professional development for educators on using AI tools in classrooms, focusing on safety, benefits, and legal compliance.
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 minimal coverage of risk domains, with brief mentions of privacy (2.1) and security (2.2) through references to FERPA and student data protection laws. No other risk domains are substantially addressed.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
This document exclusively governs AI use in the Educational Services sector, establishing a pilot program for AI education tools in K-12 schools. The regulation applies to public school districts (local and regional boards of education) and includes requirements for educator professional development.
Hard Law
Legislative Status Summary
This is a binding state legislative act with mandatory language establishing a pilot program and professional development requirements administered by the Department of Education.
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 covers the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on implementation of an existing AI tool in educational settings and ongoing professional development for educators. There is minimal coverage of Plan and Design through selection criteria for participating districts.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers artificial intelligence broadly, including machine learning, algorithms, and predictive models. It does not distinguish between different types of AI systems (frontier, general purpose, task-specific, etc.) or mention compute thresholds or open-source models.
Document data from AGORA, CSET Emerging Technology Observatory.