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.
In the Messy Middle: Observations from the Front Line at the UKSG Forum
The UKSG Forum is “an entire 2-3 day conference stripped back to bare essentials and completed in just one day”. Here are the key takeaways — changing priorities, from global to local; why it is getting harder to keep up and keep order; and the overriding importance of trusted relationships.
Google’s Last Last Year in Search
The year in search at Google — is this the last one of these we’ll see?
Reimagining Scholarly Publishing Workflow: A High-Level Map of What Changes Next
Rather than just bolting on AI to existing publication workflows,there is a real opportunity to rethink and redesign them for human–AI collaboration. Some thoughts on what that looks like in practice.
Can a CC License Constrain Fair Use or Other Copyright Limitations or Exemptions?
Creative Commons (CC) licenses expand, not restrict, the permissible uses of copyrighted works.
Three Years After the Launch of ChatGPT, Do We Know Where This Is Heading?
Nearly three years after ChatGPT’s debut, generative AI continues to reshape scholarly publishing. The sector has moved from experimentation toward integration, with advances in ethical writing tools, AI-driven discovery, summarization, and automated peer review. While workflows are becoming more efficient, the long-term impact on research creation and evaluation remains uncertain.
Guest Post — The Economics of AI in Academic Research
In the fast-moving world of AI research tools, there are many community-focused concerns that vendors should have strong opinions on and plans for, from privacy and security to sustainability and copyright. But the most misunderstood issue, in my view, is the one at the heart of it all — how AI will reshape the economics of academic research.
Guest Post — “Have You Proved You’re Human Today?” Open Content and Web Harvesting in the AI Era
AI web harvesting bots are different from traditional web crawlers and violate many of the established rules and practices in place. Their rapidly expanding use is emerging as a significant IT management problem for content-rich websites across numerous industries.
Guest Post – Taxonomy of Delegation: How GAIDeT Reframes AI Transparency in Science, an Interview with Yana Suchikova
Today, we speak with Prof. Yana Suchikova about GAIDeT, the Generative AI Delegation Taxonomy, which enables researchers to disclose the use of generative AI in an honest and transparent way.
Guest Post: Classifying AI Use in Manuscript Preparation – A Recommendation
The STM Association offers a classification scheme for the various possible uses of AI, including GenAI, in the preparation of manuscripts.
Ask the Chefs: What’s a Bold Experiment with AI in Peer Review You’d Like to See Tested?
To kick off Peer Review Week, we asked the Chefs, What’s a bold experiment with AI in peer review you’d like to see tested?
Guest Post – ODI Survey on AI and Web-Scale Discovery
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.