AI Detection Policy Template for Schools and Teams

What an AI detection policy should cover

An AI detection policy should define acceptable AI assistance before a dispute happens. The policy should explain disclosure rules, what evidence may be reviewed, how detector results are interpreted, and how writers can respond.

Schools can pair this template with academic integrity workflows. Teams can adapt it for enterprise AI detection or security and privacy review.

Template sections

Allowed AI use: define whether brainstorming, outlining, grammar review, translation, or drafting is allowed. Disclosure: explain when writers must say how AI helped. Evidence review: list drafts, citations, writing history, and detector results. Follow-up: define revision, clarification, appeal, and escalation paths.

Implementation checklist

Use plain language. Give examples. Train reviewers on false positives. Avoid automatic punishment based on a score. Review the policy each term or quarter as AI tools and expectations change.

FAQ

Who should own the policy?

Ownership depends on context. Schools may involve academic affairs, faculty, student conduct, and accessibility teams. Businesses may involve legal, compliance, editorial, security, and department leaders.

How often should the policy change?

Review the policy on a predictable schedule and after major AI tool changes. Keep the core principles stable while updating examples and workflow details.