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.
AI in Scholarly Publishing — SSP Pulse Check Report
The first of SSP’s new polling initiative, Pulse Check, explores AI in scholarly publishing and set out to understand how our communities are navigating this monumental shift.
Hot Takes on the First Quarter of 21st Century Scholarly Publishing
Todd Carpenter looks back on the past quarter century of a digital revolution in scholarly publishing.
Guest Post — Three Ways to Innovate and Reimagine Publisher Value in an AI World
AI is presenting new challenges while also giving us tools to innovate in ways. The most successful publishers will be those willing to challenge the status quo.
Why We Must Work Together to Harden the Scholarly Supply Chain
At the STM innovation and Integrity days in London last week, it’s clear that research integrity has become an increasingly pressing issue. Many publishers are reporting significant increases in submissions of questionable legitimacy. perhaps now is the time for a new alliance between publishers, funders, institutions and researchers to protect the integrity of the scholarly record, before it’s too late.