Work

A university framework for the responsible use of generative AI in research

Year: 2025
Type: article
Abstract: AI poses both opportunities and risks for the integrity of research. Universities must guide researchers in using AI responsibly and in navigating a complex regulatory landscape subject to rapid change. Drawing on the consultative experiences of two Australian universities, we propose a framework to help institutions promote and facilitate the responsible use of AI. We provide guidance to help distil the diverse regulatory environment into a principles-based university stance through the core values of honesty, transparency and accountability. Further, we explain how a written stance can serve as a foundation for initiatives in training, communications, infrastructure and process change. This paper underscores the urgency for research institutions to take action in this area and suggests a practical and adaptable framework to do so.
Authors: Shannon Michelle Smith, Melissa Tate, Keri Freeman, Anne Walsh, Brian Ballsun-Stanton, Murray Lane
Language: English
Open Access status: hybrid
OpenAlex ID: W4396600444
FWCI: 20.34
Cites: 73
Cited by: 81
Related to: 10