Let’s Be Cautious As We Cede Reading to Machines
AI might help with the deluge of content, but there are problems when we rely on machines to think for us.
AI might help with the deluge of content, but there are problems when we rely on machines to think for us.
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.
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.
It’s been “the year of generative AI”, so Charlie Rapple asked ChatGPT to write some cracker-standard Christmas jokes with a scholarly communications theme.
Themes and ideas from the Fortune Brainstorm AI. “People won’t lose their jobs to AI; they’ll lose their jobs to people that are using AI.”
Introducing the AI in Scholarly Publishing Community of Interest (CoIN), the SSP’s latest offering to all its members to explore and engage in all matters AI as they relate to scholarly publishing.
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.”
A selection of questions and answers from Copyright Clearance Center’s response to the United States Copyright Office “Artificial Intelligence and Copyright” request for comment.
Today in Kitchen Essentials, Alice Meadows interviews Jennifer Gibson, Executive Director of the Dryad data repository.
Reflecting on the Charleston Conference Vendor Showcase @lisalibrarian share what she did — and didn’t — see.
Separately, both open research and AI are considered disrupters, causes of disorder in the normal continuance of scholarly publishing. But approaching them in a synchronized way can offer more productivity gains and efficiencies than taking them on individually.
In our next Kitchen Essentials post, Alice Meadows interviews Juan Pablo Alperin and John Willinsky of the Public Knowledge Project (PKP)