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?
Robert Harington talks to Niko Pfund of Oxford University Press, in this series of perspectives from some of Publishing’s leaders across the non-profit and for- profit sectors of our industry.
A data scientist reviews ScopusAI (beta) and shares her analysis of its limitations, reliability, and potential.
ChatGPT has popularized generative AI, but interpretive AI has quietly remained in the shadows. Interpretive AI offers profound insights into content and audience engagement, a critical tool for publishers aiming to harness the full potential of AI.
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.