AI in scholarly publishing

Generative AI and scientific journals

Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us.

In this episode, Yi Bu explores how generative AI has changed academic publishing.

In this episode, we cover: •[00:00] Introduction. •[00:50] Computational social scientist Yi Bu tells about the policies academic journals have introduced to address generative AI. •[02:17] Bu describes the dataset he analyzed and his findings regarding journals' policies. •[04:07] He answers the question: Did journal policies have any effect on AI usage? •[05:39] Bu talks about how the rate of AI disclosure compares with estimates of probable AI use. •[06:53] He explains the takeaway for journal editors and the scientific community at large. •[07:27] He lists the caveats and limitations of the study. •[10:11] Conclusion.

About Our Guest:

Yi Bu Assistant Professor Peking University

View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2526734123

Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs!

Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast

Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter