AI Detectors Fall Short: Biased Against Non-Native English Speakers and Easy to Fool
As AI-generated content floods the digital landscape, new detectors promise to spot it—but a Stanford study reveals they're unreliable, especially for non-native English writers. With false positives plaguing TOEFL essays and simple tricks bypassing them entirely, educators and professionals must rethink their approach to AI cheating. This bias not only undermines fairness but highlights the urgent need for more robust, ethical AI tools.