Academic staff share their experiences implementing a framework designed to redesign university assessments in the age of generative AI.

In plain terms

Generative AI (GenAI), like ChatGPT, is making universities rethink how they assess students, creating pressure to maintain fairness and prevent academic misconduct. The Artificial Intelligence Assessment Scale (AIAS) is one framework designed to help universities adapt their assessment strategies for GenAI. This study examined how academic staff experienced implementing the AIAS at two universities, one in Vietnam and one in the UK, using focus groups with 30 staff members. Staff valued the AIAS for establishing a shared understanding of GenAI use, clarifying boundaries, and prompting reflection on assessment design. However, its implementation was influenced by factors such as university governance, access to AI tools, staff confidence, workload concerns, and the need to align with specific learning outcomes and disciplinary contexts. The findings suggest the AIAS can encourage more authentic assessment and student engagement, but it risks becoming a mere compliance measure if disconnected from teaching goals and staff capacity.