Breakout session - Effectively managing AI risks in your PTE

AI influences how learners’ study, how staff work, and how PTEs design, deliver, assess, and support learning. AI creates opportunities for efficiency, innovation, and learner support; however, it also introduces risks around privacy, data security, assessment integrity, learner authenticity, staff capability, academic judgement and recordkeeping. This session will explore how PTEs can use ISO 31000 risk management principles to manage AI risks and develop practical AI policies and controls. Rather than focusing on whether AI should be accepted or banned, the session will support providers to take a structured, risk-based approach to understanding AI use, setting clear expectations, and implementing safeguards across teaching, learning, assessment, administration, and quality assurance. Using ISO 31000 as a practical framework, the session will step through the process of understanding the AI context, identifying risks, assessing and prioritising risks, deciding on treatment actions, monitoring effectiveness, and communicating expectations clearly to staff and learners. The session will discuss what a practical AI policy may need to cover e.g. acceptable and unacceptable use, learner and staff responsibilities, AI use in assessment, disclosure requirements, privacy and confidential information, human oversight, academic integrity, use of AI detection tools, recordkeeping, staff training, and policy review. Practical examples will show how AI risks can arise in different areas