We Could Use a Model Licensing Framework for Scholarly Content Use in AI Tools
Model licenses simplified library licenses in the 2000s. The same approach can streamline licensing scholarly content for AI training today.
Model licenses simplified library licenses in the 2000s. The same approach can streamline licensing scholarly content for AI training today.
The first AI training case has been decided in the US in favor of the copyright holder.
“Rights reservation language, whether in plain English, included in terms, or coded into, e.g., metadata, is “machine readable.” It is a choice by an AI developer to not read “human readable” rights reservation language.”
Traditional metrics do not allow us to fully express how OA publishing benefits society; here’s a vision for the future of storytelling with usage data in scholarly communications.
The many trust issues in scholarly publishing might benefit from applying a zero-trust framework to the publication process.
Molecular Connections has purchased Morressier. Analysis from Roger C. Schonfeld.
What are prompts in our writing tools asking us if we want to “rewrite with AI” really telling us? And what would broad adoption of those tools mean for creativity and scholarly research communication?
BMJ’s Medical Humanities Editor-in-Chief Brandy Schillace reflects on changes in publishing that are making important work harder to do.
As a result of EU law and other factors, rights holders are reserving their AI rights. This material is available for AI training/licensing.
Why does everything on the internet look and feel the same? What role are algorithms playing in driving cultural stagnation (and what might it mean for scholarly discovery)?
A focus on four rising technology trends and the challenges and opportunities they might bring to scholarly communications.
Generative AI agents have the possibility to make us more productive, but once trained, who will own and control it?
At the start of every December, STM hosts their innovation and integrity days in London. This year, research integrity was the focus of both days, reflecting growing interest and concern in the publishing industry.
Robert Harington attempts to reveal inherent conflicts in our drive to be as open as possible, authors’ need to understand their rights, and a library’s mandate to provide their patrons with the enhanced discovery that comes with AI’s large language models (LLMs).
As we enter the bleak months of winter, now is the time to ponder the really important questions, like, what would happen if every person on earth shined a laser pointer on the moon?