Guest Post – ODI Survey on AI and Web-Scale Discovery
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
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.
The AI Slop Overload Does Not Taste Good
AI-generated recipes are taking over the internet. How do they taste?
Preprints and Journals: A Model Publishing Ecosystem
Robert Harington digs into the world of preprints. He uses the field of mathematics to explore how an inclusive view of preprints and published articles leads to a research ecosystem that is greater than the sum of the parts.
Chefs de Cuisine: Perspectives from Publishing’s Top Table — Matthew Kissner
Robert Harington talks to Matt Kissner, CEO of Wiley, in this series of perspectives from some of Publishing’s leaders across the non-profit and for-profit sectors of our industry.
Ask the Librarians: What Did You Take Away from SSP’s 2025 Annual Meeting?
Librarian attendees reflect on their experiences at SSP’s Annual Meeting in Baltimore.
Guest Post — Beyond Efficiency: Reclaiming Creativity and Wellbeing in the Age of AI and Scholarly Publishing
Editor’s Note: Today’s post is by Ashutosh Ghildiyal, Ashutosh is a strategic leader in scholarly publishing with over 18 years of experience driving sustainable growth and global market expansion. He currently serves as Vice President of Growth and Strategy at […]
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.
Copyright’s Big Win in the First Decided US Artificial Intelligence Case
The first AI training case has been decided in the US in favor of the copyright holder.
AI Rights Reservation: Human Readable is Machine Readable — An Interview with Haralambos (“Babis”) Marmanis
“Rights reservation language, whether in plain English, included in terms, or coded into, e.g., metadata, is “machine readable.” It is a choice by an AI developer to not read “human readable” rights reservation language.”
Guest Post — The Case For Not Citing Chatbots As Information Sources (Part II)
Citing chatbots as information sources offer little in terms of promoting smart use of generative AI and could also be damaging.
Guest Post — Chatbots: To Cite Or Not To Cite? (Part I)
If you use a chatbot in writing a text, and are discouraged from listing it as a coauthor, should you attribute the relevant passages to the tool via citation instead? Is it appropriate to cite chatbots as information sources?
Guest Post — Beyond Generative AI: The Indispensable Role of BERT in Scholarly Publishing
ChatGPT has popularized generative AI, but interpretive AI has quietly remained in the shadows. Interpretive AI offers profound insights into content and audience engagement, a critical tool for publishers aiming to harness the full potential of AI.
Guest Post — Hanging in the Balance: Generative AI Versus Scholarly Publishing
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.
Guest Post — The Truth Is in There: The Library of Babel and Generative AI
The short story “The Library of Babel” by Jorge Luis Borges provides an opportunity to consider the veracity of AI-generated information.