Guest Post – Code Plagiarism and AI Create New Challenges for Publishing Integrity
This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.
This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.
Today, guest blogger, Priyanka Gupta, shares the story of her career journey from academia to editorial leadership.
Guest blogger, Ashutosh Ghildiyal, asks: Is AI for us, or are we for AI? In the all-important context of peer review, can we leverage AI to amplify human thought rather than replace us?
We asked the Chefs for their thoughts on two important court decisions on the legality of using copyrighted materials for AI training.
Legal scholar and research librarian Latia Ward explains why changes to ADA Title II matter to all libraries — and offers recommendations.
A comprehensive set of recommendations designed to support researchers, peer-reviewed journals, and funding bodies in systematically incorporating intersectional perspectives have been formalized in the Guidelines for Intersectional Analysis in Science and Technology (GIST). Here we interview Londa Schiebinger, co-author of the Guidelines.
Editor’s Note: Today’s post is by Ashutosh Ghildiyal, Ashutosh is a strategic leader in scholarly publishing with over 18 years of experience driving sustainable growth and global market expansion. He currently serves as Vice President of Growth and Strategy at […]
How can organizations facilitate safe and comprehensive engagement with AI? And how can individuals within those organizations engage and advocate for their own AI literacy?
Reverse delegation, a cycle where tasks flow back to the leader of an organization or team, can be difficult to overcome, particularly in academia.
Usage data experiences are dominated by tabular reports from complex systems; we need new tools to illuminate the stories within the data.
It is time for OA proponents to engage in public debate with academic associations, universities and national funding agencies, because the widespread use of academic content in AI models poses significant risks for the research ecosystem.
Adapting to AI requires a commitment to fostering AI literacy and creating spaces to openly discuss its challenges and implications.
In today’s post, Alice Meadows shares an update on a project to improve DEI in pre-award funding applications.
A look back, highlighting posts with helpful information on supporting workplace mental wellbeing
Jon Repetti reflects on the lessons being learned from the American Philosophical Society’s re-entrance into the fray of the scholarly publishing marketplace.