In the first hour
Start by slowing down. A flag opens a question, and what you do in the first hour can make that question easier or harder to answer.
- Read the message twice and write down any deadline for replying.
- Leave the flagged document exactly as it is. Its history is your best evidence, and edits made now blur it.
- Keep the text away from rewriting tools, and do not count on a second detector to settle things. Another score is another estimate.
- Do not admit to something you did not do to make the problem go away, and do not reply in anger. A short, polite request for the details is enough for now.
Then find the rules. Your syllabus and your institution’s academic integrity procedure say who decides and what the steps are. They may also say whether you can bring someone with you to a meeting.
What a detector score is, and is not
An AI detector reads a text and estimates how closely its wording matches patterns the tool links with AI writing. A detector that scores a finished text has no record of what you typed and no view of how you worked. Its output, a percentage or a label, is a prediction about the text. It is not evidence of who wrote it.
What the number counts depends on the tool. Turnitin, for example, describes its figure as the share of a document that AI tools may have generated or modified. Ask which tool was used and what its number means.
There is an 80% chance that you cheated.
Not quite. The tool knows nothing about you or how you worked. It scores wording, and whether a rule was broken is for people to decide under your institution’s policy.
It is a statistical guess about the text, not proof of who wrote it.
Yes. A detector estimates how closely the wording matches patterns it links with AI. That can be a reason to look closer. It cannot show who typed the words.
The tool found 80% of your sentences in a chatbot’s records.
Not quite. A detector has no record of what any chatbot wrote for anyone. Some tools report the share of a text they predict was AI-written, which is still a prediction from the wording.
It is the same as an 80% plagiarism match.
Not quite. A similarity score comes from matching your text against existing sources that anyone can go and read. An AI score has no source to point to, only the tool’s estimate.
What the figure counts differs by tool, so ask which tool produced it and how its maker defines the number.
The companies that build detectors say similar things themselves.
OpenAI released its own AI text classifier on January 31, 2023. At launch it said the tool correctly identified 26% of AI-written text and wrongly labeled human-written text as AI-written 9% of the time. It also said the tool should not be used as a primary decision-making tool. A note on that announcement now says that as of July 20, 2023 the classifier is no longer available, “due to its low rate of accuracy”.
Turnitin builds an AI writing detector for educators. Its own FAQ, as we read it on November 13, 2026, says Turnitin does not make a determination of misconduct, and that the percentage “should not be used as the sole basis for action” by instructors. The same page says Turnitin works to keep its false positive rate, meaning fully human writing identified as AI, under 1% for documents with over 20% of AI writing. A low rate is still not zero.
The errors do not fall evenly. In a study published in the journal Patterns in July 2023, Liang and colleagues ran seven detectors on 91 essays from the TOEFL test of English as a foreign language, written by non-native speakers, and on 88 essays by US eighth-graders. The detectors classified the eighth-graders’ essays accurately and wrongly labeled more than half of the TOEFL essays as AI-generated, an average false-positive rate of 61.3%. That study is small and dates from 2023, so it does not tell you how often today’s tools are wrong. It does show how plain, careful writing in a second language can be flagged.
None of this proves that a particular flag is wrong. It means a score cannot carry a case alone, and the rest of this guide is about the evidence that can help.
- On your own. Pause and readNote the deadline. Leave the document untouched.
- On your own. Gather your recordVersion history, drafts, notes and sources.
- With your instructor or institution. Ask in writingFor the evidence and the steps of the review.
- With your instructor or institution. Explain your workWalk through how you wrote it and answer questions.
- Afterward. Change your habitsWrite where history is kept. Say how you used AI.
The order this guide follows. Your institution’s own procedure sets the real steps and names who decides.
1. Gather the record of how you wrote it
The best answer to “did you write this?” is a record of the writing as it happened. Collect what you have before any meeting, and copy it somewhere safe without changing the originals.
Version history is often the most useful item. Google Docs keeps a history of earlier versions, with who made each change, for anyone who can edit the file. Word keeps a version history too, but only for files stored in OneDrive or SharePoint, so a document saved only on your own computer will not have one. We checked both help pages on November 13, 2026.
If you have no version history, say so plainly and rely on the other items. A missing history proves nothing either way.
If you used an AI tool for something your course allows, such as a grammar pass, Edit Check compares your original with the AI’s version in your browser and lists what changed. That helps you show how much of the text was yours.
2. Ask for the evidence and the process in writing
You cannot answer a concern you have not seen. Ask, politely and in writing, for the evidence and for the rule that applies. Ask too what the steps of the review are and when you need to reply. Writing gives both sides a record, and it gives you time to think.
Here is an email to adapt. Fill in the blanks in double braces and delete any line that does not fit your case. For the evidence blank, list what you gathered in step 1. For the AI blank, write either “I did not use any AI tool for this work” or, if your course allows AI, exactly what you used it for.
Subject: {{assignment_name}} in {{course_name}}: request for the evidence and the review steps
Dear {{instructor_name}},
Thank you for telling me about your concern with my {{assignment_name}}, which I handed in on {{date_submitted}}. I wrote this work myself, and I would like to help clear this up as soon as possible.
So that I can prepare, could you please send me:
1. The report or other evidence the concern is based on, including the name of the tool that was used and the result it gave.
2. The part of the course or institution policy that applies.
3. The steps of the review and who makes the decision.
4. The date by which I should reply.
5. Whether I may bring someone with me to a meeting.
I can show how I wrote the work. I have {{evidence_you_have}}, and I am glad to go through it with you and to answer questions about the content in person.
{{one_sentence_about_ai_use}}
I am free on {{times_you_are_free}}. Thank you for your time.
Kind regards,
{{your_name}}
{{student_number}}
Send it from your school account and keep a copy. Write every message as if it will be read aloud later in the process.
3. Explain your work aloud
In a meeting, the most useful thing you can do is talk about the work the way its author can. Bring the record from step 1 and be ready to:
- Tell the story of the work, from how you chose the topic to what you changed along the way.
- Explain any paragraph in your own words and define the terms you used.
- Say where each main claim comes from and what the source says.
- Open the version history and scroll through the dates.
Answer what you are asked, briefly and honestly. If you do not remember a detail, say so. If the policy lets you bring a support person, such as an adviser or a student representative, consider it.
Rehearsing helps. The best partner is a friend who asks hard questions. If nobody is free and your course does not ban AI tools, a chatbot can play the instructor with the prompt below. Use a new chat, and do not let it change your text.
Help me rehearse a meeting with my instructor. My {{assignment_type}} for {{course}} was flagged by an AI detector. I wrote it myself, and my aim is to explain it clearly and calmly in my own words.
Play the instructor. Use only my text and my notes below.
<my_text>
{{your_text}}
</my_text>
<my_notes_and_sources>
{{your_notes_and_sources}}
</my_notes_and_sources>
Ask me 8 questions, one at a time, and wait for my answer after each one. Mix these kinds:
- Why I made a choice, for example "Why did you open with this argument?"
- What a term or sentence in my text means.
- Where a claim comes from and what the source says.
- How I planned and drafted the work.
After each answer, tell me in one or two sentences whether it was clear and specific, and what a listener might still want to know. Then ask the next question.
Do not rewrite my text or write answers for me. Do not give an opinion on whether the text looks AI-written. A good session leaves me able to talk through every paragraph without reading from it. If a question depends on something that is not in my text or notes, ask me about it instead of assuming.
Format: plain text, short messages, no headings.
If AI was part of your process
Be exact about it. If you used AI in a way your course allows, say what it did and what you did. Show the chat if you still have it. A precise account is easier to check than a flat “I never use AI”. The AI Use Statement tool writes a short statement of how you used AI that you can give to a teacher.
If you used AI in a way the rule did not allow, the steps in this guide will not change that. Saying so early is the honest course, and what follows is for your institution to decide.
If this happens at work
An employee whose report is suspected of being AI-written is in a similar position under different rules. Ask what the concern is based on and which company policy applies. Show your drafts and the sources you worked from. If the policy allowed the tool you used, say how you used it. Your employer decides under its own policy, and a union representative or an employment adviser can tell you where you stand.
What to do differently next time
- Write in an app that keeps version history, from the first line. Large blocks pasted in from elsewhere arrive in the history all at once, with no trail behind them.
- Keep your outline and earlier drafts until the grade is final.
- Read each course’s AI rule at the start, and ask in writing when it is unclear.
- If the course allows AI, say how you used it when you hand the work in, not after a question comes up.
Some writing habits make readers think of AI, such as stock phrases and a neat summary at the end of every piece. The Robot-Speak Checker shows those habits in your own draft. It says plainly that it is not a detector, and it cannot make a text pass one. It helps you sound like yourself, and the guide to AI words to avoid explains the habits behind it.
Stay away from tools that promise to beat detectors. They change your words and leave you with a text that is less your own. If you use AI to study, our guide on how to use AI to study without cheating covers which uses to ask about first.
Key takeaways
- A detector score is a statistical guess about a text. It is not proof of who wrote it.
- Turnitin tells instructors not to act on its percentage alone, and OpenAI withdrew its own detector for low accuracy.
- Leave the flagged document untouched. Its history is evidence.
- Gather version history, drafts, notes and sources before you reply in detail.
- Ask in writing for the evidence and for the steps of the review.
- Be ready to explain your work aloud. Your institution’s policy and people decide the outcome.
Questions
Can an AI detector prove I used ChatGPT?
No. A detector estimates how closely a text matches patterns it links with AI writing. It has no record of how you wrote the work, so its score is a prediction, not proof. Turnitin’s own guidance says its percentage should not be the sole basis for action. Whether a rule was broken is decided by people, under your institution’s policy.
Why was my own writing flagged as AI?
Detectors judge wording, and some human writing matches the patterns they look for. In a 2023 study in the journal Patterns, seven detectors wrongly labeled more than half of 91 TOEFL essays by non-native English writers as AI-generated. A flag is a reason for someone to look closer. It says nothing about how you worked.
What evidence shows I wrote my essay myself?
Anything that shows the writing happening over time: the document’s version history, earlier drafts, your outline, reading notes and the sources you used. Past work in the same voice helps too, and so does explaining the essay aloud. Copy the files somewhere safe, and do not edit the originals while the question is open.
Can I be penalized on a detector score alone?
That depends on your institution’s policy, so read it and ask how decisions are made. Turnitin tells instructors not to use its percentage as the sole basis for action, and OpenAI said its own classifier should not be a primary decision-making tool. You can point to both when you ask what other evidence is being considered.
Should I run my essay through an AI detector before I hand it in?
It can add worry without adding certainty. Different detectors can score the same text differently, and a clean result from one says nothing about the tool your school uses. Your time is better spent keeping drafts and version history. To see which writing habits readers link with AI, use the Robot-Speak Checker, which never calls a text AI.
What if I have no drafts or version history?
Say so plainly, because a missing history proves nothing either way. Offer what you do have: notes, sources, earlier work and messages about the assignment. Then offer to explain the work in person, and ask whether you may write a short piece under supervision. Next time, write where history is kept.