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A University Framework for the Responsible Use of Generative AI in Research

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Bibliographic Details
Title: A University Framework for the Responsible Use of Generative AI in Research
Language: English
Authors: Shannon Michelle Smith (ORCID 0000-0002-5976-3294), Melissa Tate (ORCID 0009-0006-0421-5465), Keri Freeman (ORCID 0000-0003-4334-9416), Anne Walsh (ORCID 0000-0002-5147-8640), Brian Ballsun-Stanton (ORCID 0000-0003-4932-7912), Murray Lane (ORCID 0000-0002-1571-030X)
Source: Journal of Higher Education Policy and Management. 2026 48(1):17-36.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 20
Publication Date: 2026
Document Type: Journal Articles
Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Foreign Countries, Models, Research Universities, Research, Ethics, Integrity
Geographic Terms: Australia
DOI: 10.1080/1360080X.2025.2509187
ISSN: 1360-080X
1469-9508
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.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1505104
Database: ERIC
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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.
ISSN:1360-080X
1469-9508
DOI:10.1080/1360080X.2025.2509187