How to Report a False Positive to Turnitin

Turnitin's FAQ asks users to report false positives. The exact wording is: "If you find AI written documents that we've missed, or notice authentic student work that we've predicted as AI-generated, please let us know! Your feedback is crucial in enabling us to improve our technology further." This is the only official channel Turnitin's public documentation mentions for flagging a false positive. The FAQ also says the AI score "should not be used as the sole basis for action," that the model "may not always be accurate," and that certain text types are false-positive-prone. Reporting the false positive does not change your current score, but it gives Turnitin data to improve future model updates.

The FAQ is direct:

"If you find AI written documents that we've missed, or notice authentic student work that we've predicted as AI-generated, please let us know! Your feedback is crucial in enabling us to improve our technology further."

This sentence covers two directions. It asks for reports of missed AI text (false negatives) and reports of authentic student work incorrectly flagged as AI (false positives). For our purposes, the second direction is what matters. If your human-written work was flagged as AI-generated, Turnitin's own documentation asks you to tell them about it.

The FAQ describes text that is prone to false positives:

"Sometimes false positives (incorrectly flagging human-written text as AI-generated), can include content without a lot of structural variation, text that literally repeats itself, or text that has been paraphrased without developing new ideas."

The next sentence: "If our indicator shows a higher amount of AI writing in such text, we advise you to take that into consideration when looking at the percentage indicated."

If your flagged text matches any of these descriptions, you have a concrete explanation for the false positive. You can reference the FAQ's own description when you discuss the flag with your instructor, and you can reference it when you report the false positive to Turnitin. Flagged, but you wrote it yourself covers how to put that conversation together.

The FAQ states:

"Hence, we must emphasize that the percentage on the AI writing indicator should not be used as the sole basis for action or a definitive grading measure by instructors."

A separate guidance page adds:

"It is not meant to provide definitive answers in isolation. More important than any tool is the educator who sees the score and makes decisions balancing this information with their personal knowledge of their students, their work, and institutional policy."

These statements give you two grounds for action. First, the score is one data point, not a verdict. Second, the model can be wrong, and Turnitin acknowledges this. Reporting the false positive is the official mechanism for making Turnitin aware that the model got your specific case wrong. How often it is expected to be wrong at all is the arithmetic in what a 1% false positive rate means when a university submits 75,000 papers.

Reporting a false positive to Turnitin does not change your current score. The report is already generated, and as Turnitin's release notes confirm, model updates "will not retroactively update previously-generated AI writing reports." What reporting does is contribute data that Turnitin uses to improve future model updates. The FAQ says: "Your feedback is crucial in enabling us to improve our technology further." This is a long-term contribution, not an immediate fix. For your immediate situation, the more practical steps are to discuss the flag with your instructor, reference the FAQ's false-positive-prone text descriptions if they apply, and work on the specific passages that were flagged. If it escalates past a conversation, what evidence your university will accept is the route that actually moves your case.

To summarize what we have covered:

• Turnitin's FAQ explicitly asks users to report false positives: "please let us know!"
• The FAQ lists false-positive-prone text types: low structural variation, repetition, paraphrasing without new ideas.
• The score should not be used as the sole basis for action, according to Turnitin's own documentation.
• Reporting does not change your current score, but contributes to future model improvement.
• For immediate action, discuss with your instructor and work on the flagged passages.

If you have a Turnitin report showing which passages were flagged, import the report and work on those specific passages. Eligible passages can be re-run at no charge.