Examining academic integrity policy and practice in the era of AI: a case study of faculty perspectives

In short

Teaching staff at one UAE institution rated its integrity policies for copied work and for AI-assisted work only moderately effective, the authors report, with a gap between the two.

What it looked at

An online survey of 71 faculty from 37 nations, supplemented with 17 semi-structured interviews, at one internationalised UAE institution. Staff rated policies on availability, visibility, clarity, adequacy and effectiveness, and answered scenarios on AI-assisted work.

What it means for teaching

Staff in this UAE case preferred educative over punitive approaches and named workload, weak support and detection challenges among barriers to enforcement, though the evidence comes from one institution.

Limits

One institution and a modest sample. Fewer staff answered the AI scenarios, which the authors link to uncertainty. Views are perceptions, not measures of how policies work in practice.

Cited 89 times by other papers, as counted by OpenAlex in November 2026. A count measures attention, not quality.