Use of Artificial Intelligence in Academic Research: What Is Acceptable and What is Not


Lacassin, Robin, Doré, Tony, Gouiza, Mohamed, Magee, Craig, Welford, Kim, Bond, Clare, Eagles, Graeme, Fernández-Blanco, David, Kavanagh, Janine ORCID: 0000-0003-0274-9843, McCarthy, Dave et al (show 3 more authors) (2025) Use of Artificial Intelligence in Academic Research: What Is Acceptable and What is Not Tektonika, 3 (2). ISSN 2976-548X

Access the full-text of this item by clicking on the Open Access link.

Abstract

Artificial intelligence (AI), mostly in the form of chatbots based on large language models (LLM), now permeates society at large, whether for positive, negative, trivial or even toxic purposes. AI is also increasingly used in various aspects of scientific research, from large-scale data analysis to manuscript preparation. At Tektonika, the Executive Editor’s group and the Core members engaged in discussions while drafting our guidelines on the use of AI. These exchanges revealed a divide between those who see AI as bringing significant positive contributions and those who are more skeptical, fearing a loss of expertise and a decline in cognitive skills. Some of the key questions that emerged about the benefits of AI are: Do we accept or even encourage the use of AI? At what stages of the research process? What is acceptable or not for manuscript preparation or reviewing? Conversely, several challenges were also identified prompting questions such as: do we just see the use of AI as inevitable, placing us on a damage-limitation exercise? Are we concerned about laziness in research and writing, about false information? Are we able to discern whether or not a manuscript is AI-generated, partially or totally?

Item Type: Article
Uncontrolled Keywords: 46 Information and Computing Sciences, 4608 Human-Centred Computing, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD)
Divisions: Faculty of Science & Engineering
Faculty of Science & Engineering > School of Environmental Sciences
Faculty of Science & Engineering > School of Environmental Sciences > Earth, Ocean and Ecological Sciences
Depositing User: Symplectic Admin
Date Deposited: 14 Apr 2026 09:56
Last Modified: 23 May 2026 10:57
DOI: 10.55575/tektonika2025.3.2.119
Open Access URL: https://tektonika.online/index.php/home/article/vi...
Related Websites:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3197960
Disclaimer: The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.
Altmetric
CORE (COnnecting REpositories)