How to Review Suspected AI Writing Without False Accusations
Reddit teachers' accounts show why checking AI writing should be a process, not a score lookup. The goal is to understand how a document was produced while minimizing false accusations—not to reverse-engineer certainty from an imperfect classifier.
Reviewed 2026-11-01 · Original Reddit discussions linked below
How to do it
- Define what the relevant policy actually prohibits or requires disclosing.
- Preserve the original document and its metadata.
- Review revision history, notes, sources and earlier work.
- If you use a detector, inspect passages and disclose its limitations.
- Ask neutral questions about choices, sources and revisions.
- Base any conclusion on multiple pieces of evidence and provide an appeal path.
Reddit discussions behind this answer
Teachers discuss accusations triggered by false positives. The strongest practical advice is to treat a score as a lead, then review drafts, version history, prior work and the student's explanation.
A wrongful accusation illustrates the cost of making a detector the decision-maker. Commenters recommend document history and comparison with earlier writing as stronger evidence.
Students reportedly distort normal prose to reduce flags. The lesson is that optimizing for a detector can make genuine writing worse without establishing who authored it.