We Need AI Standards for Scholarly Publishing: A NISO Workshop Report
NISO issues a report on workshops looking to improve the efficiency of working with AI systems in scholarly publishing
Guest Post — European Accessibility Act: Navigating the Challenges of EAA Compliance
The deadline for the European Accessibility Act compliance is rapidly approaching. Here we discuss the challenges scholarly organizations face in achieving EAA compliance — and the strategies they’re implementing to address them.
Dispensed With A Matronly Air: Trust and AI
BBC Maestro has delivered a writing course taught by a speaking and moving on-screen image of Agatha Christie. Did the AI behind it succeed?
Strategies to Improve Open Science Monitoring: Lessons from France’s OSM initiative
The French Open Science Monitor Initiative shows a path toward improving recognition of data sharing and open science assessment.
Guest Post — Beyond Efficiency: Reclaiming Creativity and Wellbeing in the Age of AI and Scholarly Publishing
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 […]
Guest Post — Fostering AI Adoption and Literacy Within Your Organization
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?
Delete the Drama: Creating A Cyberbully-free Zone in Scholarly Publishing
It’s not always easy to recognize a cyberbully, or initially realize you’re being targeted. Here, some practices to help you to grow and protect your professional networks in ways that align with your values and vision.
Guest Post — Gatekeepers of Trust: Reaffirming the Publisher’s Role in Service of the Reader
The most vital and enduring contribution of scholarly publishers is their role as gatekeepers — not as obstacles to knowledge but as stewards of quality, integrity, and trust.
Guest Post: Eight Hypotheses Why Librarians Don’t Like Retrieval Augmented Generation (RAG)
AI-assisted search is here, and librarians need to have an honest discussion about how to integrate this new technology into library services. This post explores the parallels to the introduction of discovery layers and how to overcome some of the discomfort librarians might have with retrieval-augmented generation.
Guest Post — How Libraries and Scholarly Publishers Can Work Together Toward Born-accessible Publishing
Libraries and publishers can work together to improve the availability of accessible published content for people with disabilities. Here we present recommendations to support the cross-sector collaboration necessary to improve the accessibility of content in our communities.
AI Strategy, Governance, and Monetization in Scholarly Publishing: Lessons from Industry Front-Runners
At the 3rd Generative AI Summit in London, global leaders and companies shared how they’re embedding generative AI into strategies, workflows, and products for commercial success, operational efficiency, and competitive advantage. Here, we’d like to share key takeaways and insights from multiple perspectives and explore what they mean for publishers.
Innovation, Governance, and Public Trust: The US Office of Management and Budget (OMB) Issues Guidance on AI
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).
New Ways to Illuminate Stories in Your Usage Data
Usage data experiences are dominated by tabular reports from complex systems; we need new tools to illuminate the stories within the data.
An Elaborate, But Highly Accurate, 11 Second Microsoft Office Gag
If you’ve ever tried to move a photo in a Word document, you’ll appreciate this short reenactment.
Guest Post — The Open Access – AI Conundrum: Does Free to Read Mean Free to Train?
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.