Ensuring attribution is critical when licensing content to AI developers
Publishers should support scholarly authors by requiring license deals with AI developers include attribution in their outputs.
Publishers should support scholarly authors by requiring license deals with AI developers include attribution in their outputs.
A look at how AI tools support transforming information access into information comprehension.
To learn about how Scopus AI works under the hood, we interview Elsevier Sr. VP of Analytics Products and Data Platform, Maxim Khan.
Do publishers really understand what tools researchers are using and how they are using them? Can we do more to create better policies based on real use cases and not hypothetical conjecture about what AI might do in the future?
In today’s Chef de Cuisine article, Robert Harington talks with Michael Levine-Clark, Dean of the University of Denver Libraries. The University Libraries are currently ranked as the #3 “best college library” by Princeton Review.
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.
In copyright law, the existence of licensing options impacts upon a rights owners exclusive rights.
A new paper uses AI to decipher sperm whale vocalizations.
We asked Campus Disability Services leaders, “What would you most like Publishers to know?”
In this post – the first of two discussing artificial intelligence and information discovery – we explore the evolution of information discovery, its role in the research journey, and how it can be applied to help researchers and publishers alike.
Part one of a look back at the Publisherspeak meeting — today’s themes: author experience (AX) and AI.
The latest STM Trends is out, showing a future where humans and machines are integrated and engaged, supporting research and output sharing.
As high profile cases about image integrity problems in scientific papers become more frequent, the community must consider how to overcome the issues with the manual image review process and the benefits of AI in rapidly detecting, and potentially preventing, these issues.
Robert Harington talks to Dr. Susan King of Rockefeller University Press (RUP), in this series of perspectives from some of Publishing’s leaders across the non-profit and for-profit sectors of our industry.