Two of the largest school districts in the United States, New York City Public Schools and Los Angeles Unified School District, have adopted policies limiting student access to generative artificial intelligence, signaling a significant shift in how K-12 school systems are approaching AI. The actions reflect concerns about academic integrity, student development, privacy and overreliance on automated tools, and may set a standard for other school districts looking to establish guardrails for the growing technology.
What the District Policies Do
New York City Public Schools (NYCPS) is implementing a one-year moratorium on student-facing generative AI for grades 2K through 8 during the 2026-27 school year. The policy prohibits software that directly exposes younger students to generative AI, including companion chatbots, while allowing limited, supervised use in high schools. Grade 9-12 students may access five centrally approved pilot programs and AI use is permitted in certain career-readiness pathways, such as Career and Technical Education, under teacher supervision.
The NYCPS framework pairs restrictions with AI literacy requirements. All high school students will complete two 45-minute modules addressing how AI works, privacy, bias, ethical considerations and appropriate use. Teachers may continue using approved AI tools for planning and operational tasks, but AI cannot be used for grading, behavioral monitoring or decisions involving student placement, promotion, graduation or special education documentation. Assistive technology required under IEPs or 504 Plans, as well as necessary language-access tools, remains exempt.
Los Angeles Unified School District’s (LAUSD) moratorium applies to student use of generative AI on district-owned devices during the current school year. Conventional Google searches remain unchanged, but Google’s interactive AI Mode has been disabled on student devices. The district has not established an equivalent systemwide rule governing AI accessed through non-district devices, creating an implementation distinction from NYCPS’s grade-based policy. Teachers are not categorically barred from using AI, although LAUSD does not currently operate a districtwide AI system for grading or identifying academic dishonesty.
Key Policy Considerations
Districts across the country, including districts in Florida and Texas, are creating similar AI policies. Although the policies differ, other states navigating the topic are addressing the same underlying concerns. Those issues include:
- Academic integrity: Districts are seeking to preserve student-authored work and ensure assignments measure learning.
- Age-appropriate access: Rules may distinguish between younger students, who require greater supervision, and older students, who may use AI for defined educational purposes.
- Privacy and data security: Schools must consider whether student information is entered into third-party AI systems and how that information is stored or used.
- Teacher guidance: Restrictions do not eliminate the need for educator training, clear classroom expectations and instruction in evaluating AI-generated information.
Broader K-12 Policy Context
The moves in New York City and Los Angeles come amid a wider national debate over AI in schools. K-12 Dive has documented a broader wave of school restrictions across the country. At the same time, many districts and states are pursuing AI literacy initiatives and controlled classroom experimentation. Student age, instructional purpose, privacy safeguards and local governance all play a role in the differing approaches and present barriers to wider policy adoption at the state or federal level.
For education policymakers, the central issue is not simply whether students may use AI, but under what conditions its use supports learning without displacing foundational skills, teacher judgment or student accountability. District decisions in the nation’s two largest school systems may provide reference points for K-12 systems weighing similar rules.
FOCUS will continue to monitor developments on AI policy in education across the country.
by Tom O’Connor 9/21/26
