Academic Integrity and AI in Schools

Use this practical guide to align academic integrity expectations, classroom practice, assessment, and conversations about student AI use.

School AI integrity guide

Academic integrity in the age of AI

Use this guide to align academic integrity expectations, classroom practice, assessment, and conversations about student AI use.

Use this page as part of a connected review: understand the purpose, consider the people affected, check the relevant safeguards, and follow the related routes for practical next steps.

Academic integrity guidance should preserve meaningful student learning while clearly explaining when AI assistance changes the work being assessed. Make the learning goal, permitted assistance, and acknowledgement expectations visible before students begin.

Use consistent conversations and process evidence to help teachers respond fairly. Adapt this guidance to local academic, legal, accessibility, and disciplinary procedures.

Acceptable use

Set the shared policy foundation.

Define purpose, scope, guardrails, and a review loop for school AI use before writing course-level expectations.

Open policy guide

Student safety

Protect learning and visibility.

Explore student AI support, privacy, trusted-adult roles, and school-managed learning boundaries.

Explore student safety

Governance

Prepare the people and process.

Assign ownership, prepare educators, and document the decisions behind responsible rollout.

Open governance checklist