The scholarly publishing sector is undergoing its second digital transformation. Today, Ithaka S+R reviews this strategic landscape as part of a broader analysis of the shared infrastructure that supports scholarly communication.
AI might help with the deluge of content, but there are problems when we rely on machines to think for us.
Three global society publishers respond to cOAlition S’s recent “Towards responsible publishing, a proposal from cOAlition S”.
Today’s post puts the spotlight on the European Accessibility Act (EAA) directive and how different organizations are getting ready to make their publications and services EAA compliant.
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.
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 to weigh in with their thoughts on the new “Towards Responsible Publishing” manifesto from cOAlition S.
Nicko Goncharoff presents an overview of the STM/CUJS China Symposium and offers key takeaways, including China’s increasing concern over APCs and Gold OA costs, divergent views on research integrity, and better routes to cooperation.
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.
Generative AI wants to make information cheap, but will people want to read it? Are we ready for more productive writers?
We all know the journals market has rapidly consolidated over recent years. But where’s the data? I set out to find some numbers to put behind the common sense.