Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis
Perkins, Mike, and Roe, Jasper (2024) Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis. F1000Research, 12. 1398.
|
PDF (Published Version)
- Published Version
Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Background: As Artificial Intelligence (AI) technologies such as Generative AI (GenAI) have become more common in academic settings, it is necessary to examine how these tools interact with issues of authorship, academic integrity, and research methodologies. The current landscape lacks cohesive policies and guidelines for regulating AI’s role in academic research which has prompted discussions among publishers, authors, and institutions.
Methods: This study employs inductive thematic analysis to explore publisher policies regarding AI-assisted authorship and academic work. Our methods involved a two-fold analysis using both AI-assisted and traditional unassisted techniques to examine the available policies from leading academic publishers and other publishing or academic entities. The framework was designed to offer multiple perspectives, harnessing the strengths of AI for pattern recognition while leveraging human expertise for nuanced interpretation. The results of these two analyses are combined to form the final themes.
Results: Our findings indicate six overall themes, three of which were independently identified in both the AI-assisted and unassisted, manual analysis using common software tools. A broad consensus appears among publishers that human authorship remains paramount and that the use of GenAI tools is permissible but must be disclosed. However, GenAI tools are increasingly acknowledged for their supportive roles, including text generation and data analysis. The study also discusses the inherent limitations and biases of AI-assisted analysis, necessitating rigorous scrutiny by authors, reviewers, and editors.
Conclusions: There is a growing recognition of AI’s role as a valuable auxiliary tool in academic research, but one that comes with caveats pertaining to integrity, accountability, and interpretive limitations. This study used a novel analysis supported by GenAI tools to identify themes emerging in the policy landscape, underscoring the need for an informed, flexible approach to policy formulation that can adapt to the rapidly evolving landscape of AI technologies.
| Item ID: | 82280 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 2046-1402 |
| Keywords: | Academic Integrity, Academic Publishing, AI-Assisted Authorship, Ethical Guidelines, Generative AI, Inductive Thematic Analysis, Publisher Policies, Research Methodologies |
| Copyright Information: | © 2024 Perkins M and Roe J. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Date Deposited: | 01 Apr 2025 23:10 |
| FoR Codes: | 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 70% 36 CREATIVE ARTS AND WRITING > 3602 Creative and professional writing > 360202 Digital writing @ 30% |
| SEO Codes: | 22 INFORMATION AND COMMUNICATION SERVICES > 2205 Media services > 220503 Publishing and print services @ 100% |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |