Why is my essay flagged as AI?
Syft shows you which passages of your essay carry AI-like signals and what the reading responded to, so you can answer a flag with something specific. A flag means the writing resembles machine-generated text on measured features; it is not proof that AI wrote it. Here is why human writing gets flagged, and what to do next.
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Inspect your writing
Paste the essay. Syft marks the passages that carry AI-writing signals and names the pattern behind each one, so you can see exactly what a detector responds to.
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Why human writing gets flagged
Detectors measure properties of prose. Some human prose has them.
These are the kinds of writing that tend to read AI-like on measured features. Knowing which one describes your essay is usually enough to explain a flag, and none of them is evidence of anything but the writing.
A formal, even register
Academic and professional prose keeps sentence length steady, avoids contractions and uses conventional transitions. Those are exactly the features generated text shares.
Templated structure
Essays built to a rubric (introduction, three points, conclusion, each with a signposting sentence) read as uniform. Uniformity is a signal.
Writing in a second language
Published research found detectors flag non-native English writers at markedly higher rates. Simpler vocabulary and regular sentence shapes are the reason, not the writer.
Heavy editing and polishing
Grammar tools and careful revision smooth prose toward the shapes detectors associate with generation.
Summaries and definitions
Passages that define terms or summarise sources are generic by nature and tend to read AI-like even when written by hand.
Short texts
Under about 80 words there is not enough to read, and a detector that reports a confident result on such a text is over-reaching. Syft reports insufficient signal instead.
OBSERVEDIndependent studies report false positives on human writing across detectors, reduced accuracy on edited and paraphrased text, and a bias against non-native English writers.
UNKNOWNYour own detector’s false-positive rate, unless it publishes one with a method.
UNKNOWNSyft has not yet published a measured accuracy or false-positive rate for its own detector. No figure is stated here because no approved measurement of the production engine exists. When one does, it will appear in this place with its engine version, method, sample, date and limitations.
References
- 01GPT detectors are biased against non-native English writers Liang et al., 2023 · Patterns · 2023
- 02Testing of detection tools for AI-generated text Weber-Wulff et al., 2023 · International Journal for Educational Integrity · 2023
What the band means
A signal band is not a share of your essay.
A high signal band does not mean most of the essay was generated, and a moderate one does not mean half of it was. The band says how strongly the text as a whole carries the patterns Syft measures — Low signal, Moderate / elevated signal, High signal, or Insufficient signal when there is too little to read. Two essays can land in the same band for entirely different reasons.
That is why passage-level inspection is the useful part. When you can see that the flagged sentences are your introduction’s signposting and your conclusion’s summary, you know what the detector reacted to, and you know that the argument in between, in your own voice, was not it.
Different detectors also give different readings for the same text. None of them is measuring “how much AI”; each is measuring resemblance on its own features and thresholds.
What to do next
Read, gather, revise if you want to, and keep your process.
- 01
Read the marked passages
Use the check above. If the marked sentences are generic framing and summary, that is what the reading responded to. If they are your own specific argument, you can say precisely why the reading is weak evidence. - 02
Gather your process evidence
Drafts, notes, sources, version history, the file’s own metadata. These show how the essay came to be, which no detector can. How to assemble it - 03
Revise for clarity, not for a score
If passages read stiff to you too, revise them in your own voice: specific claims, varied sentences, your examples. Syft's Humanize proposes such revisions and keeps your meaning; it is a writing tool and makes no promise about any detector's result. - 04
Know the rules you are writing under
Your course's AI policy decides what is allowed. A detector reading does not change it, and following the policy is what protects you. - 05
If you are contacted, respond with the record
Ask what the reading was and which passages were marked. Show your drafts and history. Keep the conversation about the writing and the process. - 06
Keep the draft as a draft
Do not overwrite it. A dated sequence of versions is the strongest thing you can have.
Questions
What people ask after a flag.
- Does a flag mean I will be accused of cheating?
- A flag is a detector's estimate, not a decision. Many institutions now say a detector result cannot be the sole basis for an accusation. If you are contacted, the useful response is your process evidence: drafts, notes, sources and version history.
- Is a moderate or elevated signal a bad result?
- It means the evidence is mixed and wants review, not that part of the essay was generated. Syft reports a signal band for the text as a whole (Low, Moderate / elevated, High, or Insufficient) and marks the passages that carry it, which is the part worth reading. Different detectors report the same essay differently, so one reading is not a verdict.
- Can I make my essay less likely to be flagged?
- Writing that is specific, varied and in your own register tends to read as human, because that is what the measured features respond to. Syft's Humanize suggests revisions that keep your meaning, numbers, quotations and citations. It is a writing tool, and it makes no promise about what any detector will report.
- Will Syft's result match my school's detector?
- What Syft shows is where your own draft carries AI-like patterns, so you can read them and explain them. It does not predict another detector: methods and thresholds differ, and Syft does not model any institution's system.