<ul><li>AI text detectors in academia are causing ethical failures, linguistic bias, and educational risks by wrongly flagging students for writing differently and favoring conformity over creativity.</li><li>The detectors are inaccurate, often mistaking human writing for AI-generated content and causing false accusations due to their inability to understand context and nuance.</li><li>There is a bias towards white, Western, native English norms, leading to linguistic profiling and discrimination against multilingual or culturally diverse students.</li><li>The usage of these detectors raises concerns about ethical and legal implications, as they profile students instead of detecting actual cheating, leading to educational harm and psychological consequences.</li></ul>

AI Text Detectors in Academia: Ethical Failures, Linguistic Bias, and Educational Risk

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