The Role of AI in Transforming Research Methodology and Scholarly Communication
DOI:
https://doi.org/10.69996/fmep.2026014Keywords:
Artificial Intelligence, Generative AI, Research Methodology, Scholarly Communication, Peer ReviewAbstract
Artificial intelligence (AI), and in particular the recent generation of large language models and generative systems, is reshaping how scholarly knowledge is produced, evaluated, and disseminated. This paper offers a conceptual, integrative review of the ways in which AI is transforming both research methodology and scholarly communication. On the methodological side, the paper examines the use of AI in literature discovery and systematic review, data collection and preparation, quantitative and qualitative analysis, and hypothesis and research-design support. On the communication side, it considers AI-assisted academic writing, the evolving practice of peer review, and the publishing, dissemination, and discovery of research outputs. The review synthesises the principal opportunities these tools present, including gains in efficiency, accessibility, and the scale of inquiry, alongside the risks they introduce, such as fabrication and “hallucination,” bias, threats to reproducibility, questions of authorship and accountability, and unequal access. Drawing on emerging editorial and ethical guidance, the paper argues that AI is most productively understood not as a replacement for the researcher but as an augmenting instrument whose value depends on human oversight, transparency of use, and disciplined methodological governance. The paper concludes by outlining directions for responsible integration, including disclosure norms, AI literacy, and institutional policy, and by calling for empirical work to test the propositions advanced here.
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