“Beating the System”: Identifying and Countering Students’ AI Detection Evasion

Today’s attempts by students to bypass generative AI detectors have created a global academic integrity crisis. This panel examines the growing “cat-and-mouse game” between students and AI detection systems, and the cunning methods they use to avoid being flagged. From detection to prevention, our panelists will offer practical solutions for educators that include redesigning assignments and embracing AI literacy. This session is a call to action to adapt, thrive, and restore authenticity in student work. Moderator: Toni Perry, Liberty University Panelists: Shaun Cashman, Liberty University Stephanie Longo, Penn State Roger Rome, Liberty University