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.
As a result of EU law and other factors, rights holders are reserving their AI rights. This material is available for AI training/licensing.
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).
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.
Some thoughts on this year’s Open Access Week theme, “community over commercialization.”
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
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.
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.
Legislation often lags technological advances. The EU’s Digital Single Market Copyright Directive leaves many open questions regarding AI text- and data-mining.
The short story “The Library of Babel” by Jorge Luis Borges provides an opportunity to consider the veracity of AI-generated information.
Before we launch into 2024, a look back at 2023 in The Scholarly Kitchen.
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.
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?
We asked the Chefs for their thoughts on the Biden Administration’s Executive Order on “Safe, Secure, and Trustworthy Artificial Intelligence.”