International students more greatly impacted by AI detection programs: Opinion


In a recent article for Inside Higher Ed, Jamie Paris (University of Manitoba) discusses the unique ways that international students may be impacted by AI and AI-detection programs. Paris writes that instructors are not trained to police AI-based academic misconduct, and that the amount and type of AI use that constitutes cheating changes constantly and differs between schools, classes, and departments. Paris notes that this presents a particular challenge for international students who are not native English speakers, who are also targeted by AI-detection programs that predict plagiarism by evaluating the complexity of the language in a document. The author urges instructors to be mindful of the role racism can play in academic misconduct investigations.

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