Teaching and Learning with AI Conference

As AI-detection tool usage increase expontentially, colleges risk defaming students when they treat detector outputs as proof of AI plagiarism. This session applies newsroom libel standards—falsity, publication, fault, and privilege—to academic misconduct processes that rely on AI detectors. Case law, university policy statements, and journalism guidelines, reveal how over-reliance on AI detection (including in appeals) can create negligence or a reckless disregard for truth (actual malice). The session also outlines assignment and syllabus designs that emphasize responsible AI engagement over policing.