About this episode
Yi Bu discusses the impact of generative AI on academic publishing and journal policies.
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…
People in this episode
Host: PNAS
Guest: Yi Bu
Topics covered
- generative AI
- academic publishing
- journal policies
- scientific community
- AI disclosure
Keywords
- generative AI
- academic journals
- AI usage
- journal policies
- scientific research
Mentioned in this episode
Organizations: Peking University, PNAS
Books & works: Proceedings of the National Academy of Sciences
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