AI & Academic Integrity
The proliferation of generative AI technologies has blurred the boundaries between original, assisted and unauthorized work, complicating how academic integrity is maintained in higher education. This guide synthesizes research and institutional practices to help instructors understand how AI may be reshaping student approaches to academic work and integrity, why students engage in misconduct, and how instructors can address misconduct in a way that supports learning, fairness and trust. Â
What the evidence shows, why academic misconduct rates have remained unchanged, and how to interpret it?Â
Describes structural and contextual factors influencing academic misconduct regardless of AI use.
Restorative and learning-centered approaches to address misconduct.