Guest Post — What AI Can’t Learn About Peer Review… Because Nobody Can Explain It
What might be lost if we automate a task without first fully understanding the expertise behind it?
From AI Adoption to AI Practice: Building Governed AI in Scholarly Publishing
How can a publisher make AI useful across the organization while keeping control of confidential information, editorial decisions, and accountability?
The AI Transparency Trap
The absence of AI doesn’t guarantee trustworthy research. And neither does disclosing AI use.
Guest Post — Freed from Thinking: Protecting Scholarly Publishing from the Slow Erosion of Human Judgment
Today’s guest blogger argues that if we want scholarly publishing to be worth anything in a generation, we must acknowledge the risks we run by relying on intelligent automation.
Who Keeps the Catalog of Connectors? The Coming MCP Discovery Problem
Libraries and their vendor partners can build registries and metadata feeds that make MCP connectors for scholarly content findable, accessible, and usable.
Guest Post — When Research Integrity Fails, the Entire System Follows
Leadership in academia, publishing, funding, and across the supply chain must coordinate efforts to address research integrity. It is this collective responsibility that will restore and protect the credibility of research.
Guest Post — All this AI Signal and Noise: What Deserves Action Now
Amidst the onslaught of industry and global changes, opportunities, and advancements, which signals deserve action now, which are context, and which are weather?
From Content to Trusted Knowledge: Reflections on Frankfurt Book Fair 2026
Thoughts on the Frankfurt Book Fair 2026: how do we turn trusted content into useful knowledge — and help people act on it?
Guest Post – The Evolution of Eras: Agentic Discovery Makes Way for Agentic Consumption
Today’s guest post takes a deeper view into how researchers are currently engaging with AI and scholarly research, positing that we’re now seeing a shift from agentic discovery to consumption.
Guest Post – Artificial Intelligence in Scholarly Publishing: Are We Moving Faster Than the Evidence?
Today’s guest blogger reflects on why the next phase of AI adoption needs more evaluation, collaboration, and human judgment.
Reflecting on HSS Publishing as Informa Plans to Separate Taylor & Francis
Big changes are afoot, particularly for the HSS parts of scholarly publishing, as Informa announces its intention to separate Taylor & Francis. Roger Schonfeld reflects on the possible mechanisms and some potential ramifications
TRACE Project Launches to Advance AI interoperability
The community comes together to launch TRACE, a project to improve generative AI systems’ interoperability, verifiability and usage tracking.
The Representation Is Not the Scholarship
The problem with AI may not be that machines are growing more intelligent. It may be that we are becoming increasingly skilled at amplifying a highly capable, but limited form of cognition.
Ask the Chefs: What Would You Have Done Differently About Open Access/Open Science if You Predicted the World as it Exists Today? Part 2
Let’s continue our “Ask the Chefs” conversation about what they might do differently with their open access strategy if they knew then what they know now.
Ask the Chefs: What Would You Have Done Differently About Open Access/Open Science if You Predicted the World as it Exists Today? Part 1
Today, we “Ask the Chefs” to consider what they might do differently with their open access strategy if they knew then what they know now.