Guest Post — May the AI Be With Science
AI has opened a new chapter in the saga of science and peer review. Today, guest author Prof. Nihar B. Shah explains how, if guided with integrity, AI can open galaxies of possibilities.
AI has opened a new chapter in the saga of science and peer review. Today, guest author Prof. Nihar B. Shah explains how, if guided with integrity, AI can open galaxies of possibilities.
Today, we talk to thought leaders Helen King and Chris Leonard, who offer a nuanced look at how peer review might adapt, fracture, or reinvent itself in the AI era.
The future of peer review isn’t about choosing between humans and AI, or between speed and quality, but about combining the strengths of both to enable speed with quality, to ensure quality, ethics, and trust in the scholarly record.
Peer Review Quality Ratings could offer a powerful step toward restoring faith in the scholarly research system, highlight exemplary practices, and ensure that robust, verified science continues to illuminate the path forward for humanity.
To kick off Peer Review Week, we asked the Chefs, What’s a bold experiment with AI in peer review you’d like to see tested?
What can you expect from this fall’s New Directions in Scholarly Publishing Seminar in Washington, DC?
Today’s post discusses research metrics and their relationship to research integrity, inclusivity, and long-term impact.
Today we welcome a new Chef in the Kitchen, Maryam Sayab.
Today’s guest post by Deja Forte declares: Publishing isn’t just about systems and standards; it’s about people. Each of us has the power to build bridges between knowledge and the lives it’s meant to benefit.
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
During the first Trump administration, Alice Meadows interviewed three women of color who are leaders in their fields about their experiences. In this post, they revisit the topic in the light of their new positions and today’s political environment.
This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.
Today’s guest authors offer practical tips for publishing high-quality image descriptions, a key step toward ensuring genuine accessibility in scholarly communications.
In an era of information abundance and epistemic chaos, libraries serve as crucial sites for democratic knowledge practices — protecting them is critical to preserving the infrastructure of informed citizenship itself.
Summing up the Committee on Publication Ethics (COPE) Forum discussion on Emerging AI Dilemmas in Scholarly Publishing, which explored the many challenges AI presents for the scholarly community.