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.
From Detection to Disclosure — Key Takeaways on AI Ethics from COPE’s Forum
Summing up the Committee on Publication Ethics (COPE) Forum discussion on Emerging AI Dilemmas in Scholarly Publishing, which explored the many challenges AI presents for the scholarly community.
Rise of the Machine Readers: What They Really Want to Read
As AI becomes a major consumer of research, scholarly publishing must evolve: from PDFs for people to structured, high-quality data for machines.
Guest Post — Who Controls Knowledge in the Age of AI? Part 2, Recommendations for Stakeholders
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 2 of this 2 part post, we discuss recommendations for stakeholders to avoid unintended harms and preserve core scientific and academic values.
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?
Guest Post — A Smarter Way to License Research Articles for AI
If LLMs are the future of information discovery, valuable scholarly content risks being left behind — unless we build a bridge with better licensing.
Guest Post — Well-meant Is Not Well-done: A Reply to “European Accessibility Act: Navigating the Challenges of EAA Compliance”
While large international players showcase well-resourced compliance roadmaps toward accessibility compliance, many in the European publishing landscape are facing a more sobering reality: legal ambiguities, economic limits, and structural mismatches between regulatory goals and scholarly publishing practices.
Guest Post – Metrics Sonification of Team Size Effects on Disruptive Research
Data sonification is the process of translating data into sound. Here, Lutz Bornmann and Christian Leibel present the sonified results of a recent analysis of the impact of scientific team size on innovation.
Guest Post — Six Things Your Marketing Colleagues Wish You Knew
Industry pros offer a marketing manifesto of sorts, to help our non-marketing colleagues see behind the curtain and understand how to best leverage these critical team members.
Guest Post: Gatekeepers of Meaning — Peer Review, AI, and the Fight for Human Attention
Guest blogger, Ashutosh Ghildiyal, asks: Is AI for us, or are we for AI? In the all-important context of peer review, can we leverage AI to amplify human thought rather than replace us?
Better Together: ORCID and Other Researcher Identifiers
This post is based on a recently-published white paper by Alice Meadows and Josh Brown of MoreBrains Cooperative, in which they discuss why ORCID iDs work best in combination with other researcher identifiers — it’s ORCID and, not ORCID or…
Ask The Chefs — New Court Decisions Issued in Cases Addressing AI Training and Copyright
We asked the Chefs for their thoughts on two important court decisions on the legality of using copyrighted materials for AI training.
Reflections on Shared Infrastructure and Distinctive Collections
Roger Schonfeld reflects on lessons from more than 20 years conducting research and supporting the work of libraries, publishers, and the research enterprise.
We Need AI Standards for Scholarly Publishing: A NISO Workshop Report
NISO issues a report on workshops looking to improve the efficiency of working with AI systems in scholarly publishing