Stress-testing university AI governance: A prospective method for locating policy breakpoints
Poudyal, B. · 2026 · arXiv preprint arXiv:2608.28925
Abstract
Introduces Institutional AI Governance Stress Testing (IAGST), a method combining controlled capability escalation, a frozen documentary corpus and a six-dimensional governance response chain to locate where university AI governance breaks down. Applied across 133 documents from five Western Australian universities using 15 scenarios (75 encounters), the results show that while responsible authority roles typically existed, they lacked sufficient decision criteria, and that governance reliability declined sharply as AI use moved from augmentation toward autonomous substitution.