An interview with Aaron Wood, discussing the APA’s comprehensive approach to AI.
Adapting to AI requires a commitment to fostering AI literacy and creating spaces to openly discuss its challenges and implications.
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?
Model licenses simplified library licenses in the 2000s. The same approach can streamline licensing scholarly content for AI training today.
What are prompts in our writing tools asking us if we want to “rewrite with AI” really telling us? And what would broad adoption of those tools mean for creativity and scholarly research communication?
Before we plunge into 2025, a look back at 2024, a year of uncertainty in The Scholarly Kitchen.
A focus on four rising technology trends and the challenges and opportunities they might bring to scholarly communications.
Generative AI agents have the possibility to make us more productive, but once trained, who will own and control it?
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.
A diverse panel of researchers shared their first-hand publishing experiences at the 2024New Directions seminar.
As artificial intelligence begins to play an ever-bigger role in the scholarly publishing landscape, how might it help solve some of the biggest challenges facing publishers?
An interview with Wiley SVP Josh Jarrett about their work improving publishing processes with AI and licensing content for AI applications.
A new study from Ithaka S+R explores: How will generative AI transform scholarly communication and where will change be most rapid and revolutionary?