The emergence of AI chatbots has led to the implementation of AI detectors in schools to identify instances of AI-assisted completion of assignments. However, these detectors have faced criticism for producing false positives, particularly among non-native English speakers. In response, some educators are exploring the use of linguistic fingerprinting, which involves analyzing an individual's unique writing style and patterns to determine authorship. Linguistic fingerprinting has proven effective in uncovering instances of plagiarism or academic dishonesty. Critics argue that writing styles evolve over time, but proponents argue that linguistic fingerprinting can still provide reliable evidence. It is important to establish trust with students and use linguistic fingerprinting as a backup tool when suspecting AI usage. The future requires prioritizing AI literacy and reevaluating assessment strategies in education.

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