Guest Post — The Human Layer: Why AI Makes Academic Libraries More Essential, Not Less
The opportunity presented by AI is not to remove the human layer of scholarship. It is to recognize why that layer has always mattered.
We Can Now Track AI-generated Content. It Doesn’t Solve the Real Problem.
Identifying AI content is now embedded in Claude models. It doesn’t solve the problem we have. It also creates others.
AI Use in The Scholarly Kitchen
Some thoughts on the reader response the Scholarly Kitchen has seen regarding AI use by authors, a recent Nature News article on the efficacy of AI detection tools, and why it’s important to keep experimenting to figure out what’s ethically acceptable.
Guest Post — Your Next Reader Is a Machine, and We Are Ready
Machine readers replacing human readers can sound like a threat. Today’s post argues that our community is well prepared to face these challenges and seize the opportunities.
Reading Between the Lines, Part 1: A Cognitive Framework for AI in Scholarly Publishing
AI is now a permanent feature of the scholarly landscape. The question is no longer whether it should be used, but how it should be understood and governed.
Guest Post — Buying the Middle: Reading the Wiley Emerald Deal from the Global South
Publishing infrastructure shapes careers. It shapes what questions get asked, what research gets validated, and whose voices enter the global scholarly conversation. As the scholarly publishing market continues to consolidate, how does that impact different communities in different ways?
The Published Voice: Whose Voice Are We Really Reading?
What happens then to “author voice,” which has always been an important consideration to authors and reviewers alike, if AI is helping researchers with their writing?
How Bangladesh Is Reducing The North-South Divide In Scholarly Publishing
Four Bangladeshi academics touch upon different aspects of academic publishing by linking them with the SDGs: accessing research; equity in co-authorship; editorial leadership; and SDG framing.
Open Science 2.0: Building Understanding in an AI-Mediated World
Open Science 2.0 must focus not only on access, but also on trust, interpretation, learning, and effective communication. The challenge facing the scholarly publishing ecosystem is ensuring that what is open is also trustworthy, understandable, and genuinely useful.
The User Has Changed. Has Scholarly Publishing?
For scholarly publishers, the user has changed faster than the systems designed to serve them, and the gap between the two is where most of the difficult work is happening.
Filter, Not Funnel: What Zero-click Means for Brand and Engagement
The threat of zero-click search makes organizational brand more important than ever and presents a huge opportunity.
Zero-Click Readership: Are AI Overviews Changing the Way We Discover Research
Today’s post asks: If research is increasingly accessed through AI-generated summaries rather than via primary sources, then what does it mean to “engage with research” at all?
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 — 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.
Back to the (Article of the) Future: An interview with Sami Benchekroun and Rod Cookson
In this interview with Alice Meadows, Sami Benchekroun (Morressier/Molecular Connections) and Rod Cookson (The Royal Society) share their thoughts about how and why scholarly publishing needs to move away from being article-based.