Writing an AI disclosure policy your team will actually follow
Vague policies get ignored. A clear one fits on a page, names the tools and says who checks the work. A starting point for newsrooms, agencies and content teams.
Priya Natarajan
Content strategist · Aug 20, 2026 · 5 min read
Most organizations now have some kind of AI policy. Few are followed, usually because they're either too vague to act on or too strict to be realistic. A good disclosure policy is short, specific and easy to check.
What a useful policy covers
- Which tools are approved, and for which tasks.
- What must be disclosed to editors, clients or readers, and where.
- Who reviews AI-assisted work before it's published.
- How work is checked, and what happens when something slips through.
Disclose the tool, the task and who checked the result.
Keep disclosure simple
Readers don't need a technical breakdown. A single line such as "Research and outline assisted by AI; written and fact-checked by our editors" is honest and clear. Internally, ask contributors to note AI use in the same place they track sources.
Check, don't just trust
A policy without verification turns into an honor system. Spot-check submissions with a detector, especially from new contributors, and treat high scores as a reason to ask questions. The aim is consistency, not surveillance.
Written by
Priya Natarajan, Content strategist
Priya writes about search, publishing and editorial standards for teams that use generative AI.