Guest Post — Who Controls Knowledge in the Age of AI? Part 1

The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 1 of this 2 part post, we discuss the results: authors are not opposed to generative AI per se, but they are strongly opposed to unregulated, extractive practices and worry about the long-term impacts of unbridled generative AI development on the scholarly and scientific enterprise.

Guest Post — The Guidelines for Intersectional Analysis in Science and Technology (GIST): An Interview with Londa Schiebinger

A comprehensive set of recommendations designed to support researchers, peer-reviewed journals, and funding bodies in systematically incorporating intersectional perspectives have been formalized in the Guidelines for Intersectional Analysis in Science and Technology (GIST). Here we interview Londa Schiebinger, co-author of the Guidelines.

AI Strategy, Governance, and Monetization in Scholarly Publishing: Lessons from Industry Front-Runners

At the 3rd Generative AI Summit in London, global leaders and companies shared how they’re embedding generative AI into strategies, workflows, and products for commercial success, operational efficiency, and competitive advantage. Here, we’d like to share key takeaways and insights from multiple perspectives and explore what they mean for publishers.