Does ChatGPT Have an AI Detection Policy? The Real Answer

No. ChatGPT does not run AI detection on your writing, and it has no policy that marks your text as AI-generated. The uncomfortable part is that the detection happens after you leave: your school, employer or client runs your draft through a separate detector, and that tool decides what your text looks like. ChatGPT’s own rules cover what you may do with its output, not whether anyone can tell you used it.

That distinction matters because most people asking this question are really asking a different one: will someone catch me? The honest answer is that nothing in ChatGPT stops a third-party detector from scoring your draft, and nothing in OpenAI’s policies protects you if one does.

What does ChatGPT’s policy actually say?

OpenAI’s terms and usage policies are about acceptable use, not authorship detection. They cover what you can ask the model to do, what you cannot generate, and how OpenAI handles your data. There is no clause promising that output is undetectable, and no clause warning that it will be flagged either. Detection is simply not part of the product’s job.

The model has no memory of your chat after you close it in the way a detector would need, and it does not attach a hidden label to text you copy out. What you paste into a detector is judged on its own surface features: word choice, sentence rhythm, and how predictable each next word is. That is a property of the text, not of where it came from.

This is why two people can use ChatGPT for the same assignment and get very different results. One pastes the raw output. The other rewrites half of it, adds a specific example from their own week, and cuts the tidy three-part conclusion. The second draft reads differently because it is different, not because ChatGPT withdrew a flag.

Why does my own writing get flagged as AI?

This is the part people do not expect. Detectors are estimating a probability, not checking a receipt. They look for statistical regularity, and plenty of human writing is regular. Our own measurement makes the point: on 2026-09-28 we scored 709 hand-written DeAIze guides with our detector at a 30% flag threshold. The mean AI score was 26%, the median 25%, and the range ran from 0% to 69%. At that threshold, 239 of 709 human documents were flagged.

Read that again. Human-written guides, written by people, flagged hundreds of times. If you are a careful writer who produces clean, even prose, you are closer to the detector’s idea of machine text than a messy human draft is.

Non-native English writers get hit hardest, because the habits that make second-language writing correct — consistent connectors, standard phrasing, few idioms — are the same habits detectors associate with generated text. If that is you, the fix is not to write worse. It is to write more specifically.

Before you rewrite anything, find out which lines are actually carrying the signal. DeAIze highlights AI probability sentence by sentence, so you can see whether the flag sits in your conclusion or your whole draft. Try the AI detector first — the free tier covers 200 words with no credit card.

What the detector vendors say about their own limits

Detector documentation is worth reading before you panic about a score. GPTZero’s own FAQ states that a 90% class probability “can be interpreted as the chance that the detector is correct in its classification” — that is, 90% means that 90% of the time on similar documents their detector is correct in the prediction it makes (source: gptzero.me). That is a statement about their accuracy on documents like yours, not a statement that 90% of your essay was written by a machine.

The same FAQ describes how their confidence categories are tuned: when the confidence field is high, 99.1% of human articles are classified as human and 98.4% of AI articles are classified as AI (source: gptzero.me). Those are their published conditions, and they only apply at that confidence setting. A mid-range confidence score is not covered by either figure.

GPTZero also notes that it offers sentence-by-sentence highlighting and handles texts up to 150,000 characters on a free account (source: gptzero.me). Sentence-level output is the useful part, because it tells you where to edit.

What you get	GPTZero (per its FAQ)	DeAIze
Sentence-level highlighting	Yes	Yes — each sentence carries an AI probability
Long document handling	Up to 150,000 characters on a free account	Uploads in .txt, .docx and .pdf
Published confidence tuning	99.1% of human articles as human, 98.4% of AI articles as AI, at high confidence (source: gptzero.me)	No accuracy figure claimed; scores are probability estimates
Rewriting help	Detection only	Detection plus a closed-loop humanizer
Free entry point	Free account	200 words on signup, no card

The table is not a scoreboard. Detection is one job; fixing a flagged draft is a different one. Most people need the second.

How do I fix a draft that reads machine-made?

The fix is editing, and it is boring, specific work. A detector response is a probability estimate over surface patterns, so you change the surface.

1. Score the draft first, sentence by sentence. You need to know which lines carry the signal. If three sentences in a 900-word essay are flagged, you have a small problem, not a rewrite.
2. Rewrite only the flagged sentences. Leave the rest alone. Wholesale rewriting is how meaning drifts and how a clean draft becomes a worse one.
3. Add something only you could add. A date, a name, a number from your own data, a concession you actually believe. Generated text is smooth because it is general; your specifics are the least machine-like thing in the document.
4. Break the rhythm. If four consecutive sentences are the same length, vary them. Short ones. Then a longer one that carries the qualification.
5. Re-score and compare. If the number did not move, your edit did not touch the signal. Try again on a different sentence.

Here is an illustration, not a real student’s work. Before: “The implementation of renewable energy policies has been shown to have a significant impact on long-term economic outcomes.” After: “Renewable policy didn’t pay off in the first two years of the pilot — the cost curve only moved once storage got cheap.” Same claim, one specific, one hedge that sounds like a person who watched it happen.

If you want the mechanics behind why those edits work, our guide to how AI detection works walks through the signals a detector actually reads.

When this is the wrong choice

Do not reach for a humanizer if the underlying problem is honesty. If your institution or client asked you to write the work yourself and you had ChatGPT write it, the issue is not the score. No rewriting tool fixes that, and using one to hide the fact makes it worse.

The same applies if you are submitting someone else’s ideas as your own, or if your course policy bans AI assistance outright. The ideas, data and conclusions have to be yours. Editing tools help with false positives on your own writing and with cleaning up your own AI-assisted drafts where that is allowed. That is the whole scope.

Also skip it if the piece is short. Detector output on a couple of sentences is close to noise, and rewriting 40 words to chase a number wastes your afternoon.

What to do if you have already been flagged

Ask which detector, which version, and which threshold. A flag is a reading, not a verdict, and the reading changes with the tool. If you wrote the draft yourself, your records are your defence: version history, notes, earlier outlines, the reading you did. Bring those, not a rewritten file.

For a longer walkthrough of what happens after a flag, see what a high AI score really means and the humanize AI text pillar, which covers the editing workflow end to end.

One last thing about the original question. ChatGPT does not police your writing and does not protect it. Whether your draft survives a detector depends on the words on the page and on the person reading the report. You control the first. For the second, be ready to explain your process.

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Measurement note: figures in this article come from our own detector run on 2026-09-28 — n = 709 hand-written guides versus n = 12 unedited model outputs, median AI score 25% and 34% respectively. Method: /methodology/.