Guest Post — AI Readiness and the New Value Equation in Scholarly Publishing
Today’s guest bloggers explain how semantic enrichment of scholarly content allows publishers to shape the next generation of technology by making it indispensable to AI.
Guest Post — Who Controls Knowledge in the Age of AI? Part 2, Recommendations for Stakeholders
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.
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.
Are AI Bots Knocking Digital Collections Offline? An Interview with Michael Weinberg
AI Bots are overwhelming server capacity and impeding access to collections. How big is the problem and what solutions exist?
Guest Post — Fostering AI Adoption and Literacy Within Your Organization
How can organizations facilitate safe and comprehensive engagement with AI? And how can individuals within those organizations engage and advocate for their own AI literacy?
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.
Copyright’s Big Win in the First Decided US Artificial Intelligence Case
The first AI training case has been decided in the US in favor of the copyright holder.
AI and Content — The 2024 Trend that Wasn’t and the Related Opportunity that Exists
As a result of EU law and other factors, rights holders are reserving their AI rights. This material is available for AI training/licensing.
Guest Post — Food for Thought: What Are We Feeding LLMs, and How Will this Impact Humanity?
Academia has developed an amazing tree of knowledge which is arguably the most important data for Large Language Models to be trained on. Where does the scholarly communication community fit in?