GPT detectors are biased against non-native English writers
GPT detectors frequently misclassify non-native English writing as AI generated, raising concerns about fairness and robustness. Addressing the biases in these detectors is crucial to prevent the marginalization of non-native English speakers in evaluative and educational settings and to create a mo...
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| Vydané v: | Patterns (New York, N.Y.) Ročník 4; číslo 7; s. 100779 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
Elsevier Inc
14.07.2023
Elsevier |
| Predmet: | |
| ISSN: | 2666-3899, 2666-3899 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | GPT detectors frequently misclassify non-native English writing as AI generated, raising concerns about fairness and robustness. Addressing the biases in these detectors is crucial to prevent the marginalization of non-native English speakers in evaluative and educational settings and to create a more equitable digital landscape. |
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| Bibliografia: | content type line 23 SourceType-Scholarly Journals-1 ObjectType-News-1 These authors contributed equally |
| ISSN: | 2666-3899 2666-3899 |
| DOI: | 10.1016/j.patter.2023.100779 |