9 Standards for Approving AI in K-12 Classrooms

Artificial Intelligence is already entering classrooms, with teachers testing tools and vendors contacting schools directly. Ignoring AI is not realistic, but adopting it without clear standards is not responsible. Before approving any platform, leadership must define clear expectations around instructional control, student data protection, and governance.

This checklist outlines nine essential standards to guide your review process and support deliberate, informed decision-making.

In this checklist, you will learn how to:

Keep Teachers in Control: Ensure that final grading authority and the determination of how AI is used stays with educators.
Demand Explainable Outputs: Avoid “hidden” grading systems and ensure vendor logic is visible and reviewable by staff and parents.
Prioritize K-12 Specific Design: Identify platforms with adjustable reading levels and curriculum alignment rather than repurposed consumer tools.
Explicitly Protect Student Data: Document FERPA compliance and ensure data is not used to train public AI models.

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About Trek AI

Trek AI provides purpose-built AI for K-12 that supports instruction, protects students, and keeps educators in control. They help schools move beyond just having a document to achieving clarity, alignment, and practical planning for real classrooms.