
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAcademic Writing and Publishing · Medical Research and Practices · Publishing and Scholarly Communication
An author of any scientific publication requires numerous attributes, but arguably the most important are responsibility and accountability. This is becoming increasingly important given the changes in the conduct, complexity, and reporting of research.
Artificial Intelligence (AI) has rapidly become a transforming force across numerous sectors, with scientific publishing standing out as an area undergoing significant change. The integration of AI-driven tools and processes is reshaping how research is conducted, reviewed, disseminated, and consumed. There are numerous facets upon which AI may have an on scientific publishing, both positive and negative.
AI-powered applications are increasingly assisting researchers in the preparation of manuscripts. Tools leveraging natural language processing (NLP) can suggest improvements in grammar, clarity, and structure, making articles more readable and professionally presented.
The peer review process, AI is now being deployed to match manuscripts with suitable reviewers based on expertise, previous publication history, and even conflict of interest analysis. It is feasible to utilise machine learning algorithms to flag potential ethical issues, such as plagiarism or data fabrication, before papers reach human reviewers.
Despite its benefits, the adoption of AI in scientific publishing is not without significant concerns. The scholarly publishing community has quickly reported concerns about potential misuse of these language models in scientific publication.^1,2^ Concerns persist around algorithmic bias, transparency, and the potential for misuse, such as the generation of fraudulent papers.
To address concerns about the use of AI and language models in the writing of manuscripts, the Royal College of Surgeons of England (RCS Eng) has updated the journals’ instructions for authors to include guidance on AI and authorship, AI and manuscript preparation and AI and peer review. RCS England journals follow the International Committee of Medical Journal Editors (ICMJE) definition of authors and contributors, and the AI policy is in line with the COPE position statement on Authorship and AI. Readers can find our detailed AI policy here.
The impact of AI on scientific publishing is changing, profound and far-reaching. While AI offers solutions to longstanding problems such as inefficiency and accessibility, it also introduces risks and threats to scientific enterprise.
Undoubtedly, AI will be further and faster developed, being used in all stages of research and the dissemination of information. Guidance for academic publishing, such as that outlined above, will correspondingly need to evolve in time.
However, it is important to protect the integrity and credibility of surgical research, and the trust in medical knowledge.
We unfortunately live in an era of pervasive misinformation and mistrust. To be… an author, the accountability and responsibility for the research presented must remain transparent.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1De Waard A. Guest post–AI and scholarly publishing: a view from three experts. Scholarly Kitchen. https://scholarlykitchen.sspnet.org/2023/01/18/guest-post-ai-and-scholarly-publishing-a-view-from-three-experts/ (cited October 2025).
- 2Carpenter TA. Thoughts on AI’s impact on scholarly communications? an interview with Chat GPT. Scholarly Kitchen. https://scholarlykitchen.sspnet.org/2023/01/11/chatgpt-thoughts-on-ais-impact-on-scholarly-communications/ (cited October 2025).
