Anthropic signs teachers unions' binding student data and AI safety standard for schools

Nov 10, 2026
Anthropic joined Microsoft in signing the AFT and UFT's AI Safety and Privacy Standard for Schools, which bars using student and educator data for model training or advertising.

Anthropic has signed a legally binding agreement with the American Federation of Teachers and its New York branch, the United Federation of Teachers, aligned with the unions' AI Safety and Privacy Standard for Schools, K-12 Dive reports. The terms apply to Anthropic's existing agreements with school districts and took effect on 10 November.

The agreement requires Anthropic, which offers Claude for Teachers, to use student and educator information only for authorised educational purposes, and lets schools control how long data is kept and when it is deleted. The standard bars companies from using student and educator data to train AI models or for advertising, and requires safeguards and disclosure of what data is collected.

The unions' similar agreement with Microsoft took effect on 1 November. AFT president Randi Weingarten said Anthropic's signature brings the standard "one step closer to an industry standard". The move comes after New York City and Los Angeles schools restricted student use of AI tools for the 2026-27 school year.

We hope you enjoyed this article

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

Also, consider following us on social media:

Free newsletter

AI in Education

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

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
Free, six days a week

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