Étiquette : Artificial intelligence

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EN

Artificial intelligence in academic practices and policy discourses across ‘Big 5’ publishers

Authors :  Gergely Ferenc Lendvai, Aczél Petra

The present study investigates how the five largest academic publishers (Elsevier, Springer, Wiley, Taylor & Francis, and SAGE) are responding to the epistemic and procedural challenges posed by generative AI through formal policy frameworks.

Situated within ongoing debates about the boundaries of authorship and the governance of AI-generated content, our research aims to critically assess the discursive and regulatory contours of publishers’ authorship guidelines (PGs).

We employed a multi-method design that combines qualitative coding, semantic network analysis, and comparative matrix visualization to examine the official policy texts collected from each publisher’s website. Findings reveal a foundational consensus across all five publishers in prohibiting AI systems from being credited as authors and in mandating disclosure of AI usage.

However, beyond this shared baseline, marked divergences emerge in the scope, specificity, and normative framing of AI policies. Co-occurrence and semantic analyses underline the centrality of ‘authorship’, ‘ethics’, and ‘accountability’ in AI discourse. Structural similarity measures further reveal alignment among Wiley, Elsevier, and Taylor & Francis, with Springer as a clear outlier.

Our results point to an unsettled regulatory landscape where policies serve not only as instruments of governance but also as performative assertions of institutional identity and legitimacy.

Consequently, the fragmented field of PG highlights the need for harmonized, inclusive, and enforceable frameworks that recognize both the potential and risks of AI in scholarly communication.

URL : Artificial intelligence in academic practices and policy discourses across ‘Big 5’ publishers

DOI : https://doi.org/10.1093/reseval/rvag004

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EN

The scholarly communication attitudes and behaviours of Gen – Z researchers: a pathfinding study

Authors : David Nicholas, David Clark, Abdullah Abrizah, Jorge Revez, Blanca Rodrí guez-Bravo, Marzena Swigon, John Akeroyd

In preparation for a major study of Generation–Z early career researchers’ (ECRs) scholarly communications attitudes and practices we report on how different Gen-Z researchers included in our earlier studies of ECRs were.

It is a qualitative, pilot study that covered a convenience sample of around 30 Gen-Z ECRs from 8 countries and all subjects and compared to 120 of their older colleagues. Conversational, in-depth interviews lasting an hour or more were the main form of data collection.

An AI analysis, employing Claude AI, was used both to provide an initial analysis of the data and also assess the published literature on the topic. The findings were that there is enough evidence to suggest that there are enough differences between Gen-Z and their Millennial colleagues – even though all are ECRs – to merit further research.

Younger researchers in particular appear to be strategically adopting AI for efficiency and career advancement, while older researchers possess heightened awareness, and caution, regarding the philosophical and ethical consequences of technological transformation in scholarly communication.

URL : The scholarly communication attitudes and behaviours of Gen – Z researchers: a pathfinding study

DOI : https://doi.org/10.33774/coe-2026-s8b36

 

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FR

Pour une éthique de l’intelligence artificielle dans le domaine de l’évaluation de la recherche

Authors : Otmane Azeroual, Joachim Schöpfel

L’intelligence artificielle (IA) s’impose aujourd’hui dans de multiples secteurs, de la médecine à la logistique, en passant par la finance et l’éducation. Son intégration croissante dans les systèmes d’information sur la recherche (SI recherche) ouvre de nouvelles perspectives, mais soulève aussi des enjeux éthiques majeurs.

Cet article propose une réflexion sur le rôle de l’IA dans l’évaluation de la recherche, en mettant l’accent sur ses bénéfices, ses limites et la nécessité d’un cadre éthique rigoureux.

URL : Pour une éthique de l’intelligence artificielle dans le domaine de l’évaluation de la recherche

DOI : https://doi.org/10.4000/15gp8

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EN

A Cross-Disciplinary Analysis of AI Policies in Academic Peer Review

Authors : Zhongshi Wang, Mengyue Gong

Rapid advances of artificial intelligence (AI) have substantially impacted the field of academic publishing. This study examines AI integration in peer review by analysing policies from 439 high- and 363 middle-impact factor (IF) journals across disciplines. Using grounded theory, we identify patterns in AI policy adoption.

Results show 83% of high-IF journals have AI guidelines, with varying stringency across disciplines. Meanwhile, only 75% of middle-IF journals have AI guidelines. Science, technology, and medicine (STM) disciplines exhibit stricter regulations, while humanities and social sciences adopt more lenient approaches.

Key ethical concerns focus on confidentiality risks, accountability gaps, and AI’s inability to replicate critical human judgement. Publisher policies emphasise transparency, human oversight, and restricted AI usage for auxiliary tasks only, such as grammar checks or reviewer finding.

Disciplinary differences highlight the need for tailored guidelines that balance efficiency gains with research integrity. This study proposes collaborative frameworks for responsible AI integration. It focuses on accountability, transparency, and interdisciplinary policy development to address peer review challenges.

URL : A Cross-Disciplinary Analysis of AI Policies in Academic Peer Review

DOI : https://doi.org/10.1002/leap.2035

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EN

Why the Current Model oAcademic Publishing Is Ethically Flawed—and What We Can Do to Change It

Author : Emilia Kaczmarek

This article offers a reasoned call for urgent reform of the academic journal publishing system. It focuses on the ethical flaws of the current for-profit model. This model enables the transfer of public funds into the profit margins of private companies that add no meaningful value to research and even limit access to knowledge.

The article describes how feedback loops in metrics used in the evaluation of scientific publishing exacerbate structural inequalities and make it difficult to break out of the system. Moreover, the opportunity for easy profit attracts dishonest actors and fuels the rise of predatory journals, which in turn corrodes public trust in science.

Without systemic reforms, the current system could also undermine artificial intelligence–driven research outcomes by enabling models to be trained on a growing number of substandard scientific publications. The article concludes with ten specific proposals for action, aimed at stimulating further discussion within and beyond academia.

DOI : https://doi.org/10.3138/jsp-2025-0047

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EN

Ethical and practical implications of AI in academic library research

Author : Nuno Sousa

This article offers a critical and integrative review of how artificial intelligence (AI) is being incorporated into academic library systems, particularly in the context of scientific research production. Based on 29 studies, the review explores ethical practices, institutional boundaries, and epistemological challenges surrounding AI adoption.

Findings reveal that AI is reshaping scholarly workflows, such as metadata creation, information retrieval, and literature review, while also introducing unresolved ethical concerns, including data privacy, algorithmic bias, academic integrity, and diminished human agency.

The study identifies a misalignment between the rapid pace of AI implementation and the capacity of academic institutions to regulate its use responsibly. Librarians are situated at the intersection of innovation and ethical mediation, often without formal training or institutional support.

The review concludes that AI should not be viewed merely as a functional tool but as a socio-technical agent requiring ethical governance, critical AI literacy, and structural accountability across academic ecosystems.

URL : Ethical and practical implications of AI in academic library research

DOI : https://doi.org/10.1177/03400352251391753

Catégories
EN

Shifting norms in scholarly publications: trends in readability, objectivity, authorship, and AI use

Authors : Padraig Cunningham, Padhraic Smyth, Barry Smyth

Academic and scientific publishing practices have changed significantly in recent years. This paper presents an analysis of 17 million research papers published since 2000 to explore changes in authorship and content practices. It shows a clear trend towards more authors, more references and longer abstracts.

While increased authorship has been reported elsewhere, the present analysis shows that it is pervasive across many major fields of study. We also identify a decline in author productivity which suggests that `gift’ authorship (the inclusion of authors who have not contributed significantly to a work) may be a significant factor. We further report on a tendency for authors to use more hyperbole, perhaps exaggerating their contributions to compete for the limited attention of reviewers, and often at the expense of readability.

This has been especially acute since 2023, as AI has been increasingly used across many fields of study, but particularly in fields such as Computer Science, Engineering and Business. In summary, many of these changes are causes of significant concern. Increased authorship counts and gift authorship have the potential to distort impact metrics such as field-weighted citation impact andh-index, while increased AI usage may compromise readability and objectivity.

DOI : https://doi.org/10.48550/arXiv.2510.21725