Artificial Intelligence in Open Science Publishing: Risks, Scientific Integrity, and Editorial Governance
Keywords:
Artificial intelligence, Scholarly publishing, Open science, Editorial governanceSynopsis
The expansion of Artificial Intelligence in the field of scientific communication has been changing routines, criteria, and responsibilities in editorial work. In dialogue with the principles of Open Science, this book examines how automated tools are beginning to influence stages such as submission, peer review, text editing, metadata curation, publication, and post-publication.
By discussing risks, scientific integrity, and editorial governance, the book demonstrates that the adoption of AI is not merely about incorporating new technologies. What is at stake are the conditions of transparency, traceability, human oversight, data protection, institutional accountability, and the credibility of the scientific record. In this context, the book analyzes ethical, legal, and operational challenges while proposing applicable guidelines for the responsible use of AI in the editorial workflow.
Drawing on recent literature, institutional documents, and concrete challenges faced by journals in their daily operations, the publication offers insights for publishers, editorial teams, researchers, librarians, and managers seeking to understand the effects of automation on scientific publishing. More than merely tracking a technical transformation, the book calls for the development of editorial policies capable of balancing innovation, integrity, and a public commitment to science.
