A German court ruled against a mandatory article deposit requirement under Germany’s “secondary publication right” (SPR). Whatever the intentions, SPR is mainly going to contribute to the degradation of the record of science.
With CC Signals, Creative Commons wants to help authors put rules on use of their licensed content for AI training. The problem is, one of the licenses already permits free and unlimited reuse of that content, for any and all purposes. And the licenses are irrevocable.
A new STM Association paper seeks to foster a discussion about how GenAI systems can reliably incorporate scholarly research.
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 2 of this 2 part post, we discuss recommendations for stakeholders to avoid unintended harms and preserve core scientific and academic values.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 1 of this 2 part post, we discuss the results: authors are not opposed to generative AI per se, but they are strongly opposed to unregulated, extractive practices and worry about the long-term impacts of unbridled generative AI development on the scholarly and scientific enterprise.
In Asia, open access adoption is accelerating, yet the legal and structural underpinnings of this openness remain fragile, with significant licensing and copyright confusion.
An AAAS survey reveals authors’ concerns and confusion regarding open licensing of their work.
We asked the Chefs for their thoughts on two important court decisions on the legality of using copyrighted materials for AI training.
Changes in Library of Congress leadership could have profound impacts on copyright and intellectual freedom.
We are expecting the US Government’s AI Action Plan to be issued over the summer. In the meantime, we may glean some of the administration’s views by looking at recently issued information from the Office of Management and Budget (OMB).
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.”
As a result of EU law and other factors, rights holders are reserving their AI rights. This material is available for AI training/licensing.