AI policy template

K-12 AI policy template for school districts

A practical framework districts can adapt before approving classroom AI tools.

Use this page to shape policy conversations with administrators, teachers, families, and IT teams before students begin using AI for schoolwork.

Quick answer

A strong K-12 AI policy defines approved tools, student privacy rules, assignment-level AI use, teacher oversight, academic integrity expectations, and a review cycle for updating guidance as AI changes.

Start with the learning purpose

The policy should explain where AI supports learning and where it cannot replace student thinking. Lead with classroom expectations, not vendor language.

  • Name the learning task before naming the AI tool.
  • Separate tutoring, brainstorming, and feedback from plagiarism or impersonation.
  • Give teachers language they can paste into assignments.

Define approved and unapproved use

Districts need a shared line between guided support and work substitution. The simplest pattern is a 1-4 use scale that teachers attach to assignments.

  • Level 1: no AI use.
  • Level 2: planning or brainstorming only.
  • Level 3: guided support with teacher visibility.
  • Level 4: full AI collaboration with disclosure.

Make oversight operational

A policy becomes real only when teachers can see what students are doing and respond to misuse, confusion, or safety concerns without becoming investigators.

  • Require classroom-level visibility for student AI chats.
  • Document when teachers should intervene.
  • Keep class controls understandable enough for nontechnical staff.

Policy sections to include

  • Approved AI tools and account rules
  • Student data privacy expectations
  • Assignment-level AI use scale
  • Disclosure language for students
  • Teacher visibility and intervention process
  • Misuse response path
  • Annual review cycle

Frequently asked questions

Should a district AI policy ban public AI tools?

A total ban is usually brittle. A stronger policy defines approved tools, explains when public tools are not appropriate, and gives students a safer school-supported path.

Who should own AI policy updates?

District leadership should own the policy, but the review process should include teachers, IT, families, and student support staff because classroom practice changes quickly.