Ask The Chefs — New Court Decisions Issued in Cases Addressing AI Training and Copyright
We asked the Chefs for their thoughts on two important court decisions on the legality of using copyrighted materials for AI training.
A Tumultuous Week at the Library of Congress
Changes in Library of Congress leadership could have profound impacts on copyright and intellectual freedom.
Innovation, Governance, and Public Trust: The US Office of Management and Budget (OMB) Issues Guidance on AI
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).
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.
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 Rights Reservation: Human Readable is Machine Readable — An Interview with Haralambos (“Babis”) Marmanis
“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.”
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.
A Dissonance of Ideals: Openness, Copyright, and AI
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).
Guest Post: Supply Chain of Writing Fools
While Aretha Franklin’s “Chain of Fools” referred to betrayal of trust in love, when it comes to AI use of our work, writers feel betrayed by those who should be protecting our intellectual and creative property.
Guest Post: This Open Access Week Theme Has a Distinguished History
Some thoughts on this year’s Open Access Week theme, “community over commercialization.”
Tracking the Licensing of Scholarly Content to LLMs
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
Lessons Learned from a Fair Use Defeat
Several weeks ago, the Internet Archive lost its appeal of the lawsuit brought by a group of publishers opposed to its controlled digital lending programs. Roger Schonfeld examines what can be learned from this fair use defeat.
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.
The Interplay Between Copyright Licensing and Exclusive Rights; AI Edition
In copyright law, the existence of licensing options impacts upon a rights owners exclusive rights.