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.
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?
At the start of every December, STM hosts their innovation and integrity days in London. This year, research integrity was the focus of both days, reflecting growing interest and concern in the publishing industry.
The beginning of the holiday season means it’s time for our annual list of our favorite books read (and other cultural creations experienced) during the year. Part 3 today.
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?
A new survey seeks to better understand the risks and benefits of GenAI in the discovery ecosystem.
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
AI offers great potential, but also raises significant concerns when it comes to its use in peer review. Experimentation with AI is needed to find the right role for it in the process.