How can universities obtain reliable information about applicants’ abilities when application materials and online tasks can be completed with AI assistance? What can admissions teams learn from an applicant’s performance—and under which conditions can they trust the results?
This online expert session explores how institutions can address these questions in their admissions processes. The focus is on distinguishing AI-generated self-presentation from demonstrated abilities, establishing clear rules for AI use, and choosing assessment conditions that support meaningful selection decisions.
Rather than taking a blanket approach to permitting or prohibiting AI, we consider how these decisions depend on what an assessment is intended to measure. Expert insights, a practical example, and a compact decision aid will help you apply these considerations to your own admissions context.
Date:
2 December 2026, 13:00–13:30 UTC
