Revisiting: Years and Years of Creative Commons Confusion
Creative Commons licenses continue to confuse the communications community. Here we collect a decade-plus of articles looking to offer some clarity on their use.
Can a CC License Constrain Fair Use or Other Copyright Limitations or Exemptions?
Creative Commons (CC) licenses expand, not restrict, the permissible uses of copyrighted works.
Guest Post – ODI Survey on AI and Web-Scale Discovery
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
From Detection to Disclosure — Key Takeaways on AI Ethics from COPE’s Forum
Summing up the Committee on Publication Ethics (COPE) Forum discussion on Emerging AI Dilemmas in Scholarly Publishing, which explored the many challenges AI presents for the scholarly community.
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.
Confused and Ambivalent: Scholarly Authors and Creative Commons Licenses
An AAAS survey reveals authors’ concerns and confusion regarding open licensing of their work.
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.