Marshall researcher proposes audit-based alternative to AI proctoring
HUNTINGTON, W.Va. —As generative AI makes it easier for students to complete online assessments without demonstrating their own learning, a new working paper from Marshall University's David Wiley, PhD, proposes a different path: replace always-on surveillance with targeted, random learning audits.
Using a game-theoretic model, the paper suggests a credible audit system with meaningful consequences can deter cheating at relatively low audit rates…