Establishes an AI in Education Task Force to evaluate AI applications in K-12, assess ethical and data privacy implications, and develop policy recommendations. Appoints twelve members and requires reports by December 15, 2024. Dissolves the task force on January 1, 2025.
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 approximately 3-4 subdomains, with focus on privacy compromise (2.1), lack of transparency (7.4), and governance failure (6.5). Coverage is concentrated in data privacy, educational equity, and governance structure domains, with implicit references to discrimination and misinformation risks.
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
The document primarily governs the Educational Services sector, with secondary coverage of Public Administration. It establishes governance for AI use in K-12 education and involves state government agencies in oversight and policy development.
Hard Law
Legislative Status Summary
This is a binding state legislative act that establishes a task force with mandatory requirements, specific timelines, and formal governmental authority.
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 addresses multiple AI lifecycle stages with primary focus on deployment and operation/monitoring in educational contexts. It covers planning through policy recommendations, deployment through procurement guidelines, and ongoing monitoring through evaluation criteria.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and AI technology in educational contexts. It refers to 'AI-powered software' and 'AI tools' but does not specify particular AI model types, compute thresholds, or distinguish between frontier, general purpose, or task-specific AI.
Document data from AGORA, CSET Emerging Technology Observatory.