False-positive response
If your writing is flagged as AI, preserve evidence before rewriting it.
A detector flag can feel like a verdict, but it is an automated inference. Respond calmly, keep the original materials intact, and ask that any decision considers process evidence and human review.
Freeze the evidence
Save the exact submitted text and existing history before making edits that could erase the original process trail.
Ask what the score means
Request the model, date, threshold, policy, and other evidence used instead of accepting a percentage without context.
Use a fair review channel
A person should consider the work, the process records, and your explanation before a consequential decision is made.
1. Preserve the disputed record
Export the detector result or take a dated screenshot, then preserve the exact file that was scanned. Keep notes, sources, local drafts, cloud version history, comments, and relevant messages. Avoid deleting material merely because it is rough or contains abandoned language.
If you used a recorded editor or writing replay, protect the original link and privacy setting. Share only what is necessary; a false flag does not automatically justify exposing every deleted sentence, private source, or unrelated account detail.
2. Request a review based on more than one signal
Ask which policy applies, whether the detector is approved for that use, and whether its provider warns against using the score alone. Request an opportunity to explain the process and, where appropriate, show selected drafts or a receipt to a trusted reviewer.
Keep the discussion focused on evidence. Statements about your character are less useful than a dated outline, cited research, revision trail, or clear account of permitted assistance.
3. Do not optimize your voice for the detector
Repeatedly simplifying, adding errors, or changing style until a detector score falls can damage the work and teach the wrong lesson. A different result after rewriting also does not prove that the original was generated.
For future high-stakes work, agree on process expectations in advance. Preserve drafts from the start, document assistance, and use process evidence when appropriate. The goal is a fair account of the work, not a performance designed for one classifier.
Primary sources
Check the current product and evidence record.
Evidence, not certainty