AI and Scholarly Reading: Foxes versus Hedgehogs
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?
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?
Generative AI has made language tools ubiquitous, but it introduces risks of homogenized texts and semantic slippage.
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 journal portfolio, platform, or membership is no longer enough, as AI transforms how research is discovered and consumed. How will your organization adapt?
Today, we learn what’s in store for this year’s fall seminar from SSP.
Today’s guest bloggers posit four important trends in scholarly communications that our community should be ready to tackle.
The opportunity presented by AI is not to remove the human layer of scholarship. It is to recognize why that layer has always mattered.
Identifying AI content is now embedded in Claude models. It doesn’t solve the problem we have. It also creates others.
Today’s guest post argues that scholarly publishers’ institutional credibility and alignment are in crisis, and suggests the time for a structural rebrand is now.
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.
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.
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.
Whether peer review needs revolution or evolution may be the wrong question. The more pressing one is whether the academic community is prepared to let scientific ideas be published, contested, and refined in public, rather than behind closed doors.