Guest Post — AI Isn’t Going to Pay for Content … Part Two: The Path Forward
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.
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.
Today’s guest post is the first in a two-part series — we begin by facing up to the fact that AI will not become the content windfall the way many in the publishing industry hope.
Today’s guest blogger observes how advances in technology create unprecedented opportunities in open scholarship, and asks: Can incentive structures keep up?
Before we plunge into 2026, a look back at 2025, a difficult year for many in the scholarly community.
Today’s guest blogger challenges us to look beyond the hype of AI, and embrace AI agents handling platform grunt work, validation, and parallel processing that expands what we can accomplish with immediate and substantial productivity gains.
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.
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.
Academic publishing ia reaching a breaking point. Unless we redesign it, we risk stalling the very progress we seek – with consequences impacting research, education and public trust in academia.
Today’s guest post spotlights a new scientific intelligence engine inspired by Thomas Kuhn’s theory of scientific revolution and the mission to give humanity the ability to see its own progress while it unfolds.
Today’s guest post summarizes the discussion in the recent EASE / STM / webinar, exploring the digital carbon footprint of scholarly publishing.
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.
Since every possible method and model of scholarly communication is imperfect, a healthy scholarly ecosystem must be pluralistic, providing space for experimentation and for a diversity of methods, models, and philosophies to coexist.
We talk a lot about AI in scholarly communications and publishing, but today, we ask the Chefs: What’s your favorite AI hack?
Today, Alison Mudditt reflects on a Charleston Conference session that asked: what would it take to make the scholarly communication system truly equitable, impactful, and future-ready?