Richard McInnes, Georgia Forrest, Aaron Honson, Mark Carandang, Rosemarie Fonseka, Danielle Lemieux, Ajay Kulkarni.
Learning Enhancement and Innovation team, The University of Adelaide.

Background: Institutions have defined principles for gen-AI use through the lens of student academic integrity. Yet, there is a lack of clarity around ethical and best practice use for course design and development. The rapid growth of freely available gen-AI tools necessitates ethical and best-practice guidelines.
Aim: To develop a set of best-practice guidelines to ensure responsible use of gen-AI tools and establish consistent standards across the institution.
What was done and why: Third-space professionals applied ethical best-practice principles to use cases for gen-AI in course design and development. The guidelines were flexible, practical, not temporal–they need to apply to any current and future tools. They identified practical processes where or how gen-AI use might be appropriate in course development workflows.
Recommendations and Findings: A set of overarching principles were developed for gen-AI use in course design and development. Alongside the principles, a practical guide was developed for staff to understand how to best apply these principles within their own contexts. This guide enables staff to identify when and where work could be enhanced or made more efficient through the use of gen-AI, in line with best practice principles. These guidelines also help identify what gaps in policy or practice may exist so they can be addressed.