Most New York School Districts Lack Formal AI Policies

Oct 13, 2026
An analysis of New York school districts found that more than half lack formal AI policies, while about 270 have adopted rules that generally permit responsible use.

More than half of New York's 678 school districts lack formal, board adopted AI policies, according to an analysis of district websites and school board manuals. New York Focus used an AI crawler to collect policies and then manually checked the results.

About 270 districts have formal policies. Most support "responsible AI use" to improve instruction, often focusing on broad rules such as academic integrity rather than specific tools or classroom uses.

The publication contacted roughly 400 districts where no formal policy was found online. More than 70 confirmed that they had no board policy, and 39 said they planned to create one during the current school year. Some districts without board adopted policies use internal guidance for students and teachers.

Several districts said they were waiting for state guidance. A New York State Education Department spokesperson said the department "continues to develop comprehensive statewide guidance to support emerging technologies in schools."

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.

Also, consider following us on social media:

AI in Education AI Brief AI Brief (X)
Free newsletter

AI in Education

Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.