Guest Post — Societies 2030: The Community Advantage in an AI-First World
Today’s guest bloggers call for society publishers to recognize their unique role in shaping the systems researchers use to discover and evaluate knowledge.
Guest Post — The Perils of Using Generative AI to Perform Research Tasks: Editors’ and Publishers’ Viewpoints
Today’s guest post offers a review of a panel of publishers and editors discussing the pros and cons of using Generative AI, along with ethical and policy implications.
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.
Guest Post — Shaping a Sustainable Future for Academic Publishing: Our Journey so Far
Today’s guest post demonstrates how publishers can reduce their carbon footprint and be leaders in environmental sustainability.
Guest Post — AI Readiness and the New Value Equation in Scholarly Publishing
Today’s guest bloggers explain how semantic enrichment of scholarly content allows publishers to shape the next generation of technology by making it indispensable to AI.
Guest Post — Re-imagining Scholarly Integrity: The “Continuum of Consensus” Quality Control System
Today’s guest blogger proposes the “Continuum of Consensus” as a solution to shore up research integrity, peer review, and the public trust in scholarly research.
From “AI helps me write” to “AI runs the workflow”: Eight Tech-trend Reports through a Publishing-and-learning Lens
A review of eight technology industry trend reports that offer a similar conclusion: AI is no longer a feature. It’s becoming infrastructure — and the unit of value is moving from “a better tool” to “a better system.”
Guest Post — There’s an Elephant in the Room, but Not in Your Usage Reports
Today’s guest bloggers spotlight a gap in traditional usage reporting, third-party AI usage, and recommend steps needed to recover missing usage data.
Guest Post — Putting the “U” in FAIR
Today’s guest blogger calls for adding “understandable” to the FAIR data principles, to ensure we do not surrender human knowledge in our rush for automation.
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.
Guest Post — Call for Feedback: STM Task & Finish Group (TFG) Image-type Taxonomy for Alt Text
Today’s post calls for community feedback on STM’s latest recommendations for alt-text metadata to support images in accessible scholarly publishing.
Guest Post — AI Isn’t Going to Pay for Content … Part Two: The Path Forward
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.
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 – The Next Era of Reference Management: An Interview with William Gunn
Today’s guest post features an interview with William Gunn discussing how AI will (or won’t!) change the future of reference management tools.
Guest Post — The Ghost in the Machine: Why Generative AI is a Crisis of Authorship, Not Just a Tool
Today’s guest author raises the question of whether a researcher submitting an article that was significantly drafted by an LLM without clear disclosure is effectively engaging in a contemporary form of ghost authorship.