STM Plants a Flag About Responsible Use of Research Content in GenAI
A new STM Association paper seeks to foster a discussion about how GenAI systems can reliably incorporate scholarly research.
Guest Post — Who Controls Knowledge in the Age of AI? Part 1
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.
Guest Post — The Open Access – AI Conundrum: Does Free to Read Mean Free to Train?
It is time for OA proponents to engage in public debate with academic associations, universities and national funding agencies, because the widespread use of academic content in AI models poses significant risks for the research ecosystem.
Ensuring attribution is critical when licensing content to AI developers
Publishers should support scholarly authors by requiring license deals with AI developers include attribution in their outputs.
“Mrs. Foster Has Sworn A Rape”; or, What Do We Owe? Generosity, Attribution, and the Perilous Invisibility of Research Infrastructure
Attribution has many virtues, but among them it can make visible the vast infrastructure of research for a public largely unaware or unconcerned with how much hard-won knowledge, including creative endeavor, that research has facilitated.
GitHub is Sued, and We May Learn Something About Creative Commons Licensing
GitHub and Microsoft are being sued for using open source software without creator attribution in alleged violation of open licensing requirements. What implications does this have for the scholarly literature and Creative Commons licenses?
Can Blockchain Withstand Skepticism? An Inquiry
The buzz around blockchain is mounting. But does it fit with scholarly publishing’s incentives and practices?