Generative Artificial Intelligence (GenAI) has created both opportunities and challenges for assessment design and academic integrity. The AI Assessment Scale (AIAS), developed by Perkins, Furze, Roe, and MacVaugh, provides a practical framework to guide educators in making purposeful, evidence-based decisions about appropriate AI use in assessments. Rather than treating AI as a threat to be policed through detection tools, the AIAS reframes the conversation around assessment validity and purposeful design.
This resource is designed for academic staff who wish to systematically audit their existing assessment tasks and redesign them to maintain validity in an AI-abundant educational environment. The AIAS is not simply a labelling system to be retrofitted onto existing assessments; it is fundamentally an assessment design tool that requires educators to reconsider what, how, and under what conditions they assess student learning. The framework comprises five non-hierarchical levels: