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.
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.
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.
An interview with Aaron Wood, discussing the APA’s comprehensive approach to AI.
Generative AI agents have the possibility to make us more productive, but once trained, who will own and control it?
An interview with Wiley SVP Josh Jarrett about their work improving publishing processes with AI and licensing content for AI applications.
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
Publishers should support scholarly authors by requiring license deals with AI developers include attribution in their outputs.
In copyright law, the existence of licensing options impacts upon a rights owners exclusive rights.
In today’s Kitchen Essentials interview, Roger Schonfeld speaks with Tracey Armstrong of CCC, the information solutions provider to organizations around the world.
Libraries are accelerating engagement with transformative and pure publish agreements, balancing contract-based publishing support with an APC fund, and investing in the scholarly communications ecosystem.
The current uproar over artificial intelligence does not show us what the future of AI will look like, but rather how a human population falls into predictable patterns as it contemplates any new development: we are observing not AI but ourselves observing AI.
The value of the big deal has declined. Will libraries drive down its price — or help publishers prop up its value?
Roy Kaufman of Copyright Clearance Center lays out an argument for a more robust and expansive use of licenses by rightsholders, especially in light of recent developments in the EU.