May 4, 2026
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