AI Disclosure in Academic Writing: A Practical Checklist

Academic AI disclosure is becoming part of everyday writing practice. The exact policy may vary by institution, but writers can still follow a consistent review checklist.

Record the type of assistance

Was AI used for brainstorming, outlining, grammar correction, translation, summarization, or drafting? Each use case has different disclosure expectations.

Protect sources and citations

AI tools can produce fluent but unsupported claims. Every citation, quotation, and factual statement should be checked against the original source.

Keep revision evidence

Draft history, notes, and source annotations help explain the writing process if questions arise. GPTZeroAI tools are best used as part of this transparent workflow.

Disclosure decisions need context

Academic AI disclosure should reflect how AI shaped the work. A spelling suggestion is different from AI-generated analysis, outlines, or paragraphs. Pair this checklist with the AI detector for essays and the false-positive risk research before making high-stakes decisions.

What to document

Which tool was used and for what purpose.

Whether AI changed claims, structure, wording, or sources.

Which parts were verified by the student or author.

What the course, journal, or institution policy requires.