Guest Post — Hanging in the Balance: Generative AI Versus Scholarly Publishing
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.
Guest Post: An Interview with Prof. Dr. Liying Yang of the Chinese Academy of Sciences
Mary Miskin offers an interview with Prof. Dr. Liying Yang, Director of the Scientometrics and Research Assessment Unit at the National Science Library, Chinese Academy of Sciences, who manages the Early Warning List and the CAS Journal Ranking.
Guest Post — Food for Thought: What Are We Feeding LLMs, and How Will this Impact Humanity?
Academia has developed an amazing tree of knowledge which is arguably the most important data for Large Language Models to be trained on. Where does the scholarly communication community fit in?
Where Did the Open Access Movement Go Wrong?: An Interview with Richard Poynder
Noted journalist and scholarly communication observer Richard Poynder explains why he has given up on the open access movement.
The United States Copyright Office Notice of Inquiry on AI: A Quick Take
A selection of questions and answers from Copyright Clearance Center’s response to the United States Copyright Office “Artificial Intelligence and Copyright” request for comment.
Ask The Chefs: cOAlition S’s “Towards Responsible Publishing”
We asked the Chefs to weigh in with their thoughts on the new “Towards Responsible Publishing” manifesto from cOAlition S.
Approaching Artificial Intelligence and Open Research in Sync: Opportunities and Challenges
Separately, both open research and AI are considered disrupters, causes of disorder in the normal continuance of scholarly publishing. But approaching them in a synchronized way can offer more productivity gains and efficiencies than taking them on individually.
Leading in a Space of Social Equality: A Personal Trajectory
Accountability is at the center of leadership. We must hold people, policies and structures to account and if we are struggling with tackling the hard questions, are we really doing the work?
Smorgasbord: eLife and Significance vs. Accuracy, The Collapse of the Humanities, and a new NISO Draft on Retractions Standards
A mixed bag post from us — can you separate out the significance of research results from their validity? What will the collapse of the Humanities mean for scholarly publishing writ large? And a new draft set of recommended practices for communicating retractions, removals, and expressions of concern.
The Post-Covid Work Environment — We Can’t Go Back to “Normal”
The COVID pandemic brought changes in what was acceptable to working life. Should we give up those benefits for the sake of returning to the office? How does each individual person’s experience differ, and how can we create conditions that allow all to thrive?
AI and Scholarly Societies
Robert Harington provides a template for scholarly societies wondering how to grapple with the overwhelming and omnipresent prospect of an AI future.
Ending Human-Dependent Peer Review
Human-dependent peer review is inequitable, suffers from injustice, and is potentially unsustainable. Here’s why we should replace it (eventually) with AI-based peer review.
Guest Post — Reputation and Publication Volume at MDPI and Frontiers
Compared to their peak levels, publication volume has declined at MDPI by 27% and at Frontiers by 36%. What’s behind these declines, and how do they reflect the inherent risk in the APC open access model and different approaches to reputation management?
Publishers, Don’t Use AI Detection Tools!
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
Appeals Court Rules That Library of Congress Can No Longer Require Deposit of Published Works
An appeals court has ruled that it is unconstitutional for the government to require deposit of published works in the Library of Congress