I've noted before that because AI detectors produce false positives, it's unethical to use them to detect cheating. Now there's a new study that shows it's even worse. Not only do AI detectors falsely flag human-written text as AI-written, the way in which they do it is biased. This is

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  • AutoTLDR@programming.devBEnglish
    2·
    1 year ago

    TL;DR: (AI-generated 🤖)

    A new study reveals that AI detectors not only produce false positives in detecting cheating but also exhibit biased behavior. The study shows that AI detectors often misclassify writing by non-native English speakers as AI-generated, with rates ranging from 48-76% compared to 0%-12% for native speakers. This bias is concerning because it disproportionately targets students who are already disadvantaged. Furthermore, the study finds that AI detectors are easily circumvented by asking the AI to reword text or use more complex language, making it less likely to be flagged as AI-written. This means that students using AI to write or reword their essays may actually be less likely to be caught cheating than those who rely on their own abilities. Overall, the presence of false positives, bias against non-native speakers, and the ease of bypassing detectors highlight the ethical concerns and limitations of using AI detectors for cheating detection.

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