A scholarly dialogue: writing scholarship, authorship, academic integrity and the challenges of AI
Open accessAbstract
Concerns about the role of technology and the quality of student writing in higher education are not new. Historically, writing scholars have been at the forefront of initiatives that scrutinise and integrate new technologies in higher education. This article contends that writing scholars are again uniquely equipped to assist students, teachers in all disciplines, and institutions of higher education in navigating the challenges created by the public availability of generative artificial intelligence (AI). Adopting a dialogical approach, the article brings together six scholars from diverse disciplinary backgrounds within the broad umbrella of writing studies. Through the lens of writing scholarship, this chorus of critical voices illuminates the important questions posed by, and possible responses to, AI in higher education. Although AI complicates key issues in higher education such as academic integrity, assessment, and authorship, writing scholarship provides an essential framework for educators to respond to these challenges. Collectively, these scholars map the history of writing scholars’ responses to technological change in higher education and suggest how writing scholars can contribute to the debates and discussions concerning the impact of AI on higher education.
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Universities have reported increased instances of ghost authorship, algorithmic plagiarism, and erosion of researcher accountability.
“Universities have reported increased instances of ghost authorship, algorithmic plagiarism, and erosion of researcher accountability [68, 91], which highlighted a gap between technological adoption and ethical regulation.”
From Developing the HAKI model as a conceptual framework for AI-assisted academic research (2026) · cites this paper as [91]
The discussion of roles and responsibilities (p. 10) identifies accountability and a potential ‘responsibility gap’ when AI is used in writing. The paper discusses authorship and plagiarism concerns (pp. 7–8), but does not report increased university instances of ghost authorship or algorithmic plagiarism, or a measured erosion of researcher accountability. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThere is a gap between technological adoption and ethical regulation.
“Universities have reported increased instances of ghost authorship, algorithmic plagiarism, and erosion of researcher accountability [68, 91], which highlighted a gap between technological adoption and ethical regulation.”
From Developing the HAKI model as a conceptual framework for AI-assisted academic research (2026) · cites this paper as [91]
In the discussion of local responses (p. 4), the paper describes a rushed generative-AI policy, overwhelmed academic-integrity staff, and strategies changing as staff learn about the technology. This supports a gap between technological change and institutional responses. It does not report increased university-wide instances of ghost authorship or algorithmic plagiarism, as the citing sentence also suggests. (LLM, conf=0.83)
Experimental — accuracy not yet measured
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“Universities have reported increased instances of ghost authorship, algorithmic plagiarism, and erosion of researcher accountability [68, 91], which highlighted a gap between technological adoption and ethical regulation.”
- Authors
- Wise, B., Emerson, L., Van Luyn, A., Dyson, B., Bjork, C., & Thomas, S. E.
- Affiliations
- The University of Queensland (AU)
- Massey University (NZ)
- School of Humanities, Arts and Social Sciences, University of New England, Armidale, Australia
- The University of Sydney (AU)
- Corresponding author
- Wise, Beck
- Venue
- Higher Education Research & Development
- Publisher
- Informa UK Limited
- Published
- 2024-03-25
- Volume
- 43
- Issue
- 3
- Pages
- 578-590
- ISSN
- 0729-4360 (ISSN-L)
- 1469-8366
- OpenAlex
- W4393138976
- Cited by
- 76
- References
- 42
- Citations by year
- 2026: 34 · 2025: 33 · 2024: 9
- FWCI
- 28.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Higher Education Research & Development (publishedVersion, cc-by)
- RUNE (Research UNE) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Discourse Analysis in Language Studies
- Keywords
- generative AI, academic integrity, authorship, student writing, assessment, higher education, writing studies, higher education technology
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