The Opportunities and Perils of Discovery: STM Releases its Trends 2030
The new STM Trends 2030 was released, symbolizing a world full of opportunities but also with dangers lying just below the surface for scholarly publishing.
AI Rollout Is a People Problem: A Pulse on All Things AI, Part 2
Faced with technological shifts not seen since the advent of the internet, Todd Toler and Angela Cochran posit that the biggest challenges for organizations building an AI strategy are human, not technology.
Guest Post — Knowledge as Civic Infrastructure: A Conversation with Nadim Sadek
Wendy Queen interviews Nadim Sadek. Nadim is a creative strategist and founder of Shimmr AI, who argues that AI can strengthen human creativity rather than replace it.
What AI Asks of Open Access
As AI systems increasingly reason from the scientific literature, the integrity signals that make research trustworthy — open data, structured metadata, robust retraction processes — matter more than ever. PLOS CEO Alison Mudditt on why open access publishers have a different set of obligations in an AI world.
STM Plants a Flag About Responsible Use of Research Content in GenAI
A new STM Association paper seeks to foster a discussion about how GenAI systems can reliably incorporate scholarly research.
AI in Peer Review: Revisiting an 8-year-old Debate
In 2018 at SSP New Directions, Neil Blair Christensen and Angela Cochran participated in an Oxford debate on the use of AI in Peer Review. Today, they revisit their main points and reflect on where they think we are today and will likely be in another 8 years.
Guest Post — The Perils of Using Generative AI to Perform Research Tasks: Editors’ and Publishers’ Viewpoints
Today’s guest post offers a review of a panel of publishers and editors discussing the pros and cons of using Generative AI, along with ethical and policy implications.
Guest Post — Cultivating Serendipity and Protecting Night Science
As AI-driven search reduces friction in information-seeking, what happens to serendipity, frustration, and “night science”?
From “AI helps me write” to “AI runs the workflow”: Eight Tech-trend Reports through a Publishing-and-learning Lens
A review of eight technology industry trend reports that offer a similar conclusion: AI is no longer a feature. It’s becoming infrastructure — and the unit of value is moving from “a better tool” to “a better system.”
Designed for Someone Else’s Life: Balancing Academic Careers with Caregiving Responsibilities
Most people in academic careers will at some point be faced with parenting and/or caregiving responsibilities. But is academia designed to support caregivers and parents?
Responding to the Threat of Zero-Click Search and AI Summaries: How Do We Tame The Crocodile?
AI-driven zero-click search is widening the gap between visibility and usage, threatening publisher revenue, research integrity, and trust. How should we respond?
Part 2 — Why Authors Aren’t Disclosing AI Use and What Publishers Should (Not) do About It
Current AI disclosure guidelines are failing and driving AI use underground rather than making it transparent. In this follow-up post, I turn to the more challenging question: what publishers should do about it.
Why Authors Aren’t Disclosing AI Use and What Publishers Should (Not) Do About It
Only a negligible percentage of authors seem to actually be disclosing their AI use. Here’s why I think that’s the case.
Guest Post – The Next Era of Reference Management: An Interview with William Gunn
Today’s guest post features an interview with William Gunn discussing how AI will (or won’t!) change the future of reference management tools.
Guest Post — The Ghost in the Machine: Why Generative AI is a Crisis of Authorship, Not Just a Tool
Today’s guest author raises the question of whether a researcher submitting an article that was significantly drafted by an LLM without clear disclosure is effectively engaging in a contemporary form of ghost authorship.