We are expecting the US Government’s AI Action Plan to be issued over the summer. In the meantime, we may glean some of the administration’s views by looking at recently issued information from the Office of Management and Budget (OMB).
Reverse delegation, a cycle where tasks flow back to the leader of an organization or team, can be difficult to overcome, particularly in academia.
Science is built on a foundation of rigor and credibility. Preprints are adding to the crumbling of that foundation, which is already under attack by anti-science political agendas.
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.
Nicola Davies from IOPP details the publisher’s new data sharing requirements for authors.
Adapting to AI requires a commitment to fostering AI literacy and creating spaces to openly discuss its challenges and implications.
The renaming of “Mount Denali” and “Gulf of Mexico” to the politically loaded “Mount McKinley” and “Gulf of America” reveal the naked truth of what cataloging has always been: a battlefield where meaning is contested and conquered.
Research suggests that empathy is a skill that can be honed and is beneficial to all. Empathetic leadership is an art form to convey to your team that you value them as individuals, all while maintaining a keen focus on the organization’s success.
What if the community could collaborate to fix scholarly metadata? The COMET initiative is about to find out…
Model licenses simplified library licenses in the 2000s. The same approach can streamline licensing scholarly content for AI training today.
“Rights reservation language, whether in plain English, included in terms, or coded into, e.g., metadata, is “machine readable.” It is a choice by an AI developer to not read “human readable” rights reservation language.”
An interview with Klaas Sijtsma discussing the importance of statistical analysis in research integrity.
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?
Providers of library discovery services reflect on the impact and value of NISO’s Open Discovery Initiative.
Citing chatbots as information sources offer little in terms of promoting smart use of generative AI and could also be damaging.