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?
Amidst the onslaught of industry and global changes, opportunities, and advancements, which signals deserve action now, which are context, and which are weather?
Thoughts on the Frankfurt Book Fair 2026: how do we turn trusted content into useful knowledge — and help people act on it?
Today’s Fun Friday post introduces a new anti-censorship tool — Word Wipe allows you to see what a world redacted of words banned by the US government looks like.
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.
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.
Today’s post shares a personal reflection on the importance of Suicide Prevention Month and how our community can best support colleagues who may need support.
Today, we feature an interview with Tetiana Yaroshenko, Deputy Director for Research and International Affairs at the State Scientific and Technical Library of Ukraine, and Denys Kurbatov, Deputy Minister of Education and Science of Ukraine.
Some readers are foxes, and some are hedgehogs. What kind of reader is AI, and how will that impact both the practice of science and the business of journal publishing?
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?
Today’s guest post challenges our community to face tendencies toward groupthink and address the incentive structures that resist adaptation and innovation.
The US Department of Justice filed a Statement of Interest in the copyright infringement litigation between The New York Times and OpenAI and Microsoft, et. al., largely siding with the AI companies and strongly favoring the notion of LLM training as fair use. We asked the chefs for their thoughts.
Identifying AI content is now embedded in Claude models. It doesn’t solve the problem we have. It also creates others.
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.
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.
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.