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The Base-Rate Trap in Generative AI Text Detection: Why Detectors Cannot Serve as Standalone Evidence of Academic Misconduct, and Who Bears the Cost

2026-08-04

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<title>Abstract</title> <p>Purpose. Higher education institutions increasingly rely on generative artificial intelligence (GenAI) text detectors to police academic misconduct, and adoption decisions are usually justified by reported accuracy or area under the receiver operating characteristic curve (AUC). This article argues that these metrics are the wrong basis for consequential decisions about individual stud...

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Literature Corpus work: 5fb594af-ae10-568b-82d3-9b58f5cef5ae
DOI: 10.21203/rs.3.rs-10547782/v1

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