Why do AI detectors flag non-native English writers more often?
As far as I can tell, the short answer is that detectors treat plain, predictable wording as a sign of machine writing, and people writing in a second language often use a narrower range of common words and sentence patterns, so careful human prose can look machine-like to the tool. A published study reports exactly this pattern, and I would like to understand the mechanism better.
Cite
DigiCruncher, "Why do AI detectors flag non-native English writers more often?", https://digicruncher.com/topic/why-do-ai-detectors-flag-non-native-english-writers-more-often/, accessed 2026-10-25.My situation: I am a graduate student in civil engineering and English is not my first language. A report I wrote last term was flagged by a detector, and I had to explain myself to a supervisor. It was resolved without a penalty, because I could show my notes and the history of the file. But it was an unpleasant week, and I now write with the feeling that my ordinary style is under suspicion.
What I have done since:
- I turned on version history for every document and keep my handwritten outlines
- I read the paper by Liang and colleagues on detector bias, which tested several detectors on writing by native and non-native speakers
- I stopped asking AI tools to "improve" my drafts, because I could not tell whether that made the flag more or less likely
What I do not understand yet:
- Why exactly does simple, correct English look "AI-like" to these tools?
- Is making my sentences more elaborate a sensible response, or does that just make the writing worse?
- What can I give a supervisor or a university panel, so the conversation starts from evidence and not from the score?
I would appreciate answers from people who have been flagged, or who handle flags.
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