Tracking the Licensing of Scholarly Content to LLMs
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
AI offers great potential, but also raises significant concerns when it comes to its use in peer review. Experimentation with AI is needed to find the right role for it in the process.
Users (human and machine) are accessing scholarly content in new ways, challenging traditional usage analytics models. In this guest post, Tim Lloyd outlines the challenges ahead in quantifying usage.
The real challenge in implementing new peer review technologies lies in managing the human and organizational changes required to make these innovations stick. Three experts share their insights into how they are leading their teams through these transformative processes.
In today’s Peer Review Week post we hear perspectives on innovation and technology in peer review from a diverse group of users from different countries and disciplines.
Peer review needs reform. AI systems can act as assistants, providing valuable feedback for both reviewers and editors.
Are there ways to use AI in the research workflow to speed up the peer review process — and, while we’re at it, to address some of the other problems around bias and quality?
AI-generated content has been discovered in prominent journals. Should peer reviewers be expected to find AI text in manuscripts? Where in the publication workflow should these checks be done?
Publishers should support scholarly authors by requiring license deals with AI developers include attribution in their outputs.
A look at how AI tools support transforming information access into information comprehension.
To learn about how Scopus AI works under the hood, we interview Elsevier Sr. VP of Analytics Products and Data Platform, Maxim Khan.
Do publishers really understand what tools researchers are using and how they are using them? Can we do more to create better policies based on real use cases and not hypothetical conjecture about what AI might do in the future?
In today’s Chef de Cuisine article, Robert Harington talks with Michael Levine-Clark, Dean of the University of Denver Libraries. The University Libraries are currently ranked as the #3 “best college library” by Princeton Review.
How is generative AI moving us towards conversational discovery and what does this mean for publishing and future trends in information discovery?
The gaps in capability of AI will narrow over time, but publishers and end users need education on those gaps to make investment decisions and to confidently utilize Generative AI tools effectively.