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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Bibliographic Details
Published in:	Patterns (New York, N.Y.) Vol. 4; no. 7; p. 100779
Main Authors:	Liang, Weixin, Yuksekgonul, Mert, Mao, Yining, Wu, Eric, Zou, James
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 14.07.2023 Elsevier
Subjects:	Opinion
ISSN:	2666-3899, 2666-3899
Online Access:	Get full text
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Summary:	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.
Bibliography:	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