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

S.D. Smith, Melissa Tate, Keri Freeman, Anne Walsh, Brian Ballsun-Stanton, Murray Lane

2025Journal of Higher Education Policy and Management12 citationsDOIOpen Access PDF

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.

Topics & Concepts

Generative grammarSociologyEpistemologyPolitical scienceArtificial intelligenceComputer sciencePhilosophyArtificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
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