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Algorithmic Penalty for Non-Native Voices: A Three-Arm Diagnostic Accuracy Audit of Five Commercial AI Text Detectors Against Pre-LLM Scientific Literature — Protocol for the AUDIT-AI Study

2026-07-07

Abstract excerpt

<title>Abstract</title> <p> Commercial AI text detectors are increasingly used by journals, universities, and grant reviewers to screen scientific writing for AI authorship. A foundational 2023 study reported a 61.3% mean false-positive rate across seven detectors on essays by non-native English speakers, versus near-perfect accuracy on US-authored essays, implying that perplexity-based detectors may penalise co...

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Literature Corpus work
5b2a66d4-c585-5054-97d3-1cf25a19f46a
DOI
10.21203/rs.3.rs-10164745/v1
Open publication

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Algorithmic Penalty for Non-Native Voices: A Three-Arm Diagnostic Accuracy Audit of Five Commercial AI Text Detectors Against Pre-LLM Scientific Literature — Protocol for the AUDIT-AI StudyDOI 10.21203/rs.3.rs-10164745/v1
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