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 — 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?
Guest Post — Does Peer Review Favor Familiarity Over Innovation?
Closing out Peer Review Week 2026, today’s post suggests that research novelty and capacity for innovation should be given greater priority than clarity and comprehensiveness in peer review.
Rethinking Scholarly Evaluation: Matching Rigor to Purpose
What if the systems designed to protect scientific rigor are also making it harder for new ideas to emerge? Do different scholarly contributions deserve unique forms of evaluation?
Kitchen Essentials: An Interview with Daniela Saderi of PREreview
Today’s Peer Review Week post is a Kitchen Essentials interview with Daniela Saderi, Executive Director of PREreview.
Guest Post — Peer Review Triage: Deciding What’s Worth Saving
Today’s guest post asks what about our current peer review system is worth saving and if we’re able to establish one that protects editorial judgment and preserves research integrity.
Ask the Chefs: Peer Review Capacity — Uncomfortable Truths and Overlooked Conversations
For Peer Review Week 2026, we asked the Chefs two questions: What is one uncomfortable truth about peer review that the scholarly publishing community doesn’t talk about enough? And, beyond recruiting more reviewers, what conversation about peer review capacity are we overlooking?
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 — Self-Citation Is How Fields Grow
Today’s post provides a brief analysis of self-referencing and scholarly impact through the lens of stigmergy theory
Guest Post — The Guild and the Gap: What One Rejection Revealed About the Cost of Credentialism
Today’s guest post asks: Do trust markers and other systematic fraud-prevention practices exclude unaffiliated authors from contributing to the scholarly record?
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.