AI and Authorship in Scholarly Communication: Writing with Intelligence
Abstract
AI and Authorship in Scholarly Communication explores the role of artificial intelligence (AI) as it pertains to scholarly research and writing. Explaining what AI is and how it can be used by scholars, the book also focuses on aspects with the potential to change the scholarly communication landscape. Bringing together research on AI and writing from the scholarly literature in LIS and beyond, the book weaves together information about essential topics relating to AI and authorship. In laying out the primary concerns surrounding AI in the field of scholarly communication, Moulaison-Sandy considers how those concerns map to norms and practices in research and writing. The book likewise explores the future landscape of scholarly communication, an environment in which AI will continue to play an important role. AI and Authorship in Scholarly Communication will be of great interest to scholars, students, and practitioners and will be particularly useful to those studying AI or authorship from a library and information science (LIS) perspective. Researchers or practitioners working in higher education or with learning technologies will also find much to interest them within the pages of the book.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
This convergence highlights how editorial bodies and publishers are adapting to the new ethical risks posed by AI, particularly around data security, confidentiality, and potential misuse.
“This convergence highlights how editorial bodies and publishers are adapting to the new ethical risks posed by AI, particularly around data security, confidentiality, and potential misuse (COPE, 2023; Moulaison-Sandy, 2025; Yousaf, 2025).”
From Use of artificial intelligence tools in the publishing process: expectations from publishers through author guidelines (2026) · cites this paper as Moulaison-Sandy, 2025
Cited by
Sorted by citations
Chigwada, J., & Ngulube, P. (2026) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2026.1740510 · Cited by 5 · see citing works
“The rapid integration of generative artificial intelligence (AI) tools, particularly large language models (LLMs), into scholarly publishing has fundamentally altered how manuscripts are prepared (Madden et al., 2024; Moulaison-Sandy, 2025; Pongrac, 2024).”
- Authors
- Moulaison-Sandy, H.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2025-05-07
- OpenAlex
- W4410174776
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- FWCI
- 2.92
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- artificial intelligence, authorship, scholarly communication, academic writing, research practices, future of scholarly communication, academic norms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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