Academic integrity meeting after an AI accusation

A formal academic integrity meeting is not decided by the Turnitin percentage alone. Turnitin's own FAQ says the AI writing detection percentage "should not be used as the sole basis for action." Your job at the meeting is to bring evidence of your writing process and to point out that the documentation itself requires human judgment, not just a number. If your score shows as `*%`, it is below 20% and no highlights were generated at all. If the instructor has not shared the AI report PDF with you, you are allowed to ask for it before the meeting. The strongest material you can bring is your draft history, your research notes, and a printed copy of the Turnitin FAQ page that says the score is not a definitive answer.

The most important sentence for your meeting is on Turnitin's AI writing detection capabilities FAQ. The FAQ says:

"Our AI writing detection model may not always be accurate (it may misidentify human-written, AI-generated, and AI-paraphrased text), so it should not be used as the sole basis for adverse actions against a student."

The FAQ continues with a sentence that is directly relevant to a formal hearing:

"It takes further scrutiny and human judgment in conjunction with an organization's application of its specific academic policies to determine whether academic misconduct has occurred."

The phrase "further scrutiny and human judgment" is the opening. A hearing is supposed to apply the institution's academic policies to the facts of the case. The number on the report is not the policy. Turnitin's own documentation says so. The same FAQ also 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."

Print that page. Bring it. If the hearing panel treats the percentage as proof, you point to the sentence where the vendor says it should not be.

There is a second Turnitin page that reinforces the same point, and it is worth quoting at the meeting. From How should I review the AI Writing report?:

"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."

The next sentence on that page is:

"When educators look at the AI writing score and utilize it as a single data point rather than a definitive response, then it is being used as intended."

Turnitin calls the score a "single data point." That phrasing is useful at a hearing because it frames the percentage as one piece of information among many, not a finding. Your writing process, your drafts, your research notes, and your knowledge of the subject are all data points too. The documentation says the educator should balance the score with "their personal knowledge of their students, their work." Your evidence helps the panel do that.

There is a structural detail that matters for preparation. The FAQ says:

"Please note, only instructors and administrators are able to see the indicator."

And on the same page:

"The AI writing detection indicator and report are not visible to students."

The next sentence is:

"However, with the PDF download feature, instructors can download and share the AI report with students."

The same FAQ also says:

"While Turnitin has confidence in its model, Turnitin does not make a determination of misconduct; rather, it provides data for the educators to make an informed decision based on their academic and institutional policies."

If you have not seen the report, ask for the PDF before the meeting. You cannot prepare a defense against highlights you have not read. If the instructor shares the PDF, look at which passages are highlighted and which are not. The highlighted segments are what the panel will ask about. Your evidence should cover those specific passages.

If the report shows `*%` instead of a number, the score is below 20%. The FAQ explains:

"To avoid potential incidence of false positives, no score or highlights are attributed for AI detection scores in the 1% to 19% range. When AI is detected below the 20% threshold in the report, it is now indicated with an asterisk (*%) and no percentage is attributed."

This means no highlights exist on the report. There is nothing specific to defend against because the model did not flag any passages. If the hearing is based on a `*%` score, you can point out that Turnitin itself decided scores under 20% carry too high a false positive risk to display. If Turnitin will not assign a percentage or highlight text, the hearing panel should not treat the asterisk as one.

Turnitin acknowledges that certain types of writing produce false positives. The FAQ says:

"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 is the one to quote at a hearing:

"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."

Turnitin advises the reader to discount the score when the text has low structural variation, repetition, or paraphrasing without new ideas. If your assignment was a literature review, a methods section, or any writing where similar phrasing naturally recurs, the score on those passages should be viewed with skepticism. The documentation says so. Bring examples of your drafts that show the structural features Turnitin flags as false positive prone. Show the panel that the flagged passages fall into the categories Turnitin itself warns about.

The documentation gives you the argument. Your evidence gives you the facts. Here is what to bring.

Draft history. Version history from Google Docs, Word, or Overleaf. Show that the document was built over time. A document created in a single session and submitted looks different from one with days or weeks of edits. Timestamps matter.

Research notes. Bring your annotated bibliography, your reading notes, your outline. These show where the ideas came from. AI-generated text tends to lack a traceable research trail. Your notes are that trail.

The AI report PDF. If the instructor shared it, bring a printed copy. Highlight the passages the report flagged. Prepare an explanation for each one. If a flagged passage is a methods section with repetitive phrasing, point to the false positive advisory above.

The Turnitin FAQ page. Printed, with the key sentences highlighted. The sentences about "sole basis," "human judgment," and "single data point" are the ones the panel needs to see. These are not opinions. They are the vendor's own documentation.

A written statement. Prepare a one-page summary of your position. Reference the specific quotes from the FAQ. Identify which flagged passages fall into the false positive categories. State that you wrote the paper yourself and that your draft history supports that claim.

The checklist for the meeting:

1. Ask for the AI report PDF before the meeting if you have not seen it. You are allowed to ask. The FAQ says instructors can share it.
2. Print the Turnitin FAQ page. Highlight the sentences that say the score should not be the sole basis for action and that it takes human judgment to determine misconduct.
3. Bring your draft history with timestamps. Show the paper was written over time, not in a single session.
4. If your score is `*%`, point out that it is below 20% and no passages were highlighted. Turnitin decided these scores carry too much false positive risk to display.
5. If specific passages are flagged, check whether they have low structural variation, repetition, or paraphrasing. The FAQ says to discount scores on such text.
6. Prepare a written statement. Reference the vendor's documentation. Be specific about which evidence supports which claim.

The percentage on the report is one data point. The documentation says so. Your job is to make sure the hearing panel treats it that way.