Role of AI in Scientific Publishing and Editorial Process-Recording

Video Transcription

Video Summary

The webinar, hosted by Pedro Ramirez of the <em>International Journal of Gynecological Cancer</em>, explored how artificial intelligence is reshaping scientific publishing. A panel of editors, clinicians, researchers, and a publisher discussed AI’s opportunities, risks, and ethical responsibilities.

Key themes included transparency and disclosure: panelists agreed that substantial AI use in manuscript preparation should be disclosed, especially when AI contributes to drafting, rewriting, or generating scientific content. However, simple tools like grammar checkers may not require disclosure. The publisher emphasized accountability and maintaining trust in the review process.

The discussion highlighted AI’s potential to democratize science by helping non-native English speakers, improving readability, summarizing literature, and assisting with formatting and tables. At the same time, AI may widen inequities if access is limited to well-funded institutions, and it can flood journals with low-quality or repetitive submissions.

Panelists also examined peer review. AI may assist reviewers by improving structure, summarizing topics, and helping with background knowledge, but it should not replace human judgment or the confidential handling of manuscripts. Major concerns include hallucinated citations, fabricated data, plagiarism, bias amplification, and breaches of confidentiality.

The panel concluded that AI is already an unavoidable tool in publishing, and its use is likely to become standard. The future challenge is not whether AI will be used, but how to use it responsibly, transparently, and in ways that preserve scientific integrity.

Keywords

artificial intelligence

scientific publishing

transparency

disclosure

peer review

ethics

manuscript preparation

editorial integrity

hallucinated citations

confidentiality