Slow Food, Slow Publishing: The Beauty of Not Being First
Robert Harington reflects on our addiction to speed and advocates for slow scholarly publishing and the inherent beauty of not always being first.
Making AI Use of Scholarly Content Traceable, Measurable, and Trustworthy: A Meeting Report from Cambridge Scholarly AI Workshop
A Cambridge workshop proposes new standard work to support provenance, attribution and metrics in scholarly communications AI tools.
Attribution, Provenance, Reference, Citation, and AI for Research Applications – Understanding the Differences
Building robust citation and attribution into generative AI systems are foundational to usage, credit and trust. We need to expect more from AI.
AI Rollout Is a People Problem: A Pulse on All Things AI, Part 2
Faced with technological shifts not seen since the advent of the internet, Todd Toler and Angela Cochran posit that the biggest challenges for organizations building an AI strategy are human, not technology.
Guest Post — Gen Z and Academic Libraries: Reading, but Differently
Today’s guest blogger asks: How much do we read today? How do reading habits vary across generations? What should libraries and publishers do to encourage reading?
Guest Post — Cultivating Serendipity and Protecting Night Science
As AI-driven search reduces friction in information-seeking, what happens to serendipity, frustration, and “night science”?
Guest Post — AI Fatigue and Vocational Awe in Academic Libraries
Today’s guest blogger says academic librarians don’t need another class on how to use AI, but an institutional reflection on the emotional and mental cost of rushing innovations.
Responding to the Threat of Zero-Click Search and AI Summaries: How Do We Tame The Crocodile?
AI-driven zero-click search is widening the gap between visibility and usage, threatening publisher revenue, research integrity, and trust. How should we respond?
Part 2 — Why Authors Aren’t Disclosing AI Use and What Publishers Should (Not) do About It
Current AI disclosure guidelines are failing and driving AI use underground rather than making it transparent. In this follow-up post, I turn to the more challenging question: what publishers should do about it.
Why Authors Aren’t Disclosing AI Use and What Publishers Should (Not) Do About It
Only a negligible percentage of authors seem to actually be disclosing their AI use. Here’s why I think that’s the case.
Guest Post — From Cloud to Carbon: Exploring the Digital Carbon Footprint of Knowledge
Today’s guest post summarizes the discussion in the recent EASE / STM / webinar, exploring the digital carbon footprint of scholarly publishing.
Can a CC License Constrain Fair Use or Other Copyright Limitations or Exemptions?
Creative Commons (CC) licenses expand, not restrict, the permissible uses of copyrighted works.
Guest Post — Do Academic Libraries Have a Strategy for AI?
If libraries are civic institutions that structure society’s relationship to knowledge, and generative AI is poised to reshape discovery whether libraries act or not, will library leaders will develop strategies that preserve trust, equity, and sustainability?
Three Years After the Launch of ChatGPT, Do We Know Where This Is Heading?
Nearly three years after ChatGPT’s debut, generative AI continues to reshape scholarly publishing. The sector has moved from experimentation toward integration, with advances in ethical writing tools, AI-driven discovery, summarization, and automated peer review. While workflows are becoming more efficient, the long-term impact on research creation and evaluation remains uncertain.
Guest Post – Taxonomy of Delegation: How GAIDeT Reframes AI Transparency in Science, an Interview with Yana Suchikova
Today, we speak with Prof. Yana Suchikova about GAIDeT, the Generative AI Delegation Taxonomy, which enables researchers to disclose the use of generative AI in an honest and transparent way.