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.
We asked the Chefs for their thoughts on two important court decisions on the legality of using copyrighted materials for AI training.
A long-running academic controversy — do humans share a universal grammar that stems from the structure and evolution of the human brain?
Heather Staines Presidential Address from the SSP 2025 Annual Meeting.
AI-assisted search is here, and librarians need to have an honest discussion about how to integrate this new technology into library services. This post explores the parallels to the introduction of discovery layers and how to overcome some of the discomfort librarians might have with retrieval-augmented generation.
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.
I tried three different large language models (LLMs) to rewrite a potential article.
If the local pub trivia master is looking for information on Agatha Christie, what are the available options? How will AI change the nature of literary scholarship?
“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.”
To learn about how Scopus AI works under the hood, we interview Elsevier Sr. VP of Analytics Products and Data Platform, Maxim Khan.
Citing chatbots as information sources offer little in terms of promoting smart use of generative AI and could also be damaging.
If you use a chatbot in writing a text, and are discouraged from listing it as a coauthor, should you attribute the relevant passages to the tool via citation instead? Is it appropriate to cite chatbots as information sources?
How is generative AI moving us towards conversational discovery and what does this mean for publishing and future trends in information discovery?
The gaps in capability of AI will narrow over time, but publishers and end users need education on those gaps to make investment decisions and to confidently utilize Generative AI tools effectively.
A new paper uses AI to decipher sperm whale vocalizations.
Journal articles with ChatGPT authored text are being found. How common is this in the literature? And how, or better yet, when, is this problematic text slipping through to publication?