Key points
- Stanford researchers found detectors flagged TOEFL essays from non-native speakers at notably higher rates than native-speaker writing.
- Formulaic writing styles (some technical and legal writing) can trigger false positives even when entirely human-authored.
- No detector score should be treated as definitive proof in a high-stakes decision.
Every major AI detector has a documented false-positive rate — instances where genuinely human-written text gets flagged as AI-generated. Research has found this disproportionately affects non-native English writers and simple, formulaic prose styles.
What this means for you
Stanford researchers found detectors flagged TOEFL essays from non-native speakers at notably higher rates than native-speaker writing. Understanding this distinction is the foundation for evaluating any specific tool's marketing claims — see our full humanizer comparison table for how individual tools stack up.
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