Guest Post – A Year of Trends Beyond Scholarly Comms: What You Need to Know
Today’s guest bloggers posit four important trends in scholarly communications that our community should be ready to tackle.
When Your AI Knows You Too Well: Personalization, Sycophancy, and the Risk of an Intellectual Echo Chamber in AI-assisted Research
As AI research assistants learn our preferences, they may also become better at mirroring our assumptions. Avoiding that outcome will require more than a better prompt.
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.
Guest Post — AI Can Find the Article. Can It Tell Which Version It Used?
In this AI era, establishing trust and validating article versions with persistent identifiers (PIDs) is more important than ever.
Guest Post — When Errors Become Consensus: Science’s Self-Correction Can No Longer Keep Up
From 19th-century beef tea to paper mills and generative AI, the challenge is no longer detection alone; it is preventing bad claims from becoming embedded knowledge.
Reading Between the Lines, Part 2: Cognitive Debt and the Adaptive Publisher
The central risk of AI in scholarly publishing is therefore not hallucination but cognitive debt: the gradual erosion of the human capacities that give scholarship its originality, integrity, and meaning.
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.
What Authors Expect Now, and Why Publishing Hasn’t Kept Up: An Interview with Jennifer Fleet of Aries Systems and Christian Grubak of ChronosHub
Today Alice Meadows interviews Jennifer Fleet (Aries Systems) and Christian Gruback (ChronosHub) about changing author needs and how their recently announced partnership is an effort to address them.
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?
Guest Post — The Third Time is NOT the Charm: Who Will Own How AI Participates in Scholarship?
Today’s guest post warns the community that, in the AI era, we cannot keep building the pieces that lay the foundation and letting someone else own what gets built on top of it.
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.
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.