Guest Post — AI as Reader, Author, and Reviewer: What Stays Human?
Today’s guest blogger shares highlights from a recent panel at the New Directions Seminar that concluded AI is simultaneously the largest challenge and the largest opportunity.
Guest Post — Do Academic Libraries Have a Strategy for AI?
If libraries are civic institutions that structure society’s relationship to knowledge, and generative AI is poised to reshape discovery whether libraries act or not, will library leaders will develop strategies that preserve trust, equity, and sustainability?
Guest Post — The Great Pullback: Why Academic Social Media’s Fragmentation Matters
Today’s guest bloggers share insights into the fragmented, tiring, and uncertain digital landscape for academics, and evidence that a shift is underway — with implications for scholarly communication that may be far-reaching.
Guest Post — From Language Barrier to AI Bias: The Non-Native Speaker’s Dilemma in Scientific Publishing
For decades, EAL researchers have faced systemic disadvantages in publishing. AI writing tools promise relief, yet, they also bring new risks into science.
Three Years After the Launch of ChatGPT, Do We Know Where This Is Heading?
Nearly three years after ChatGPT’s debut, generative AI continues to reshape scholarly publishing. The sector has moved from experimentation toward integration, with advances in ethical writing tools, AI-driven discovery, summarization, and automated peer review. While workflows are becoming more efficient, the long-term impact on research creation and evaluation remains uncertain.
Guest Post — The Economics of AI in Academic Research
In the fast-moving world of AI research tools, there are many community-focused concerns that vendors should have strong opinions on and plans for, from privacy and security to sustainability and copyright. But the most misunderstood issue, in my view, is the one at the heart of it all — how AI will reshape the economics of academic research.
Guest Post — “Have You Proved You’re Human Today?” Open Content and Web Harvesting in the AI Era
AI web harvesting bots are different from traditional web crawlers and violate many of the established rules and practices in place. Their rapidly expanding use is emerging as a significant IT management problem for content-rich websites across numerous industries.
Is Digital-first Publishing Finally a Reality? An Interview with Liz Ferguson of Wiley
We’re finally seeing a move to truly digital-first publishing systems and in today’s post Alice Meadows interviews Liz Ferguson of Wiley about this transition, including their own Research Exchange platform.
Guest Post – Taxonomy of Delegation: How GAIDeT Reframes AI Transparency in Science, an Interview with Yana Suchikova
Today, we speak with Prof. Yana Suchikova about GAIDeT, the Generative AI Delegation Taxonomy, which enables researchers to disclose the use of generative AI in an honest and transparent way.
Peer Review in the Era of AI: Risks, Rewards, and Responsibilities
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.
Ask the Chefs: What’s a Bold Experiment with AI in Peer Review You’d Like to See Tested?
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?
Guest Post – ODI Survey on AI and Web-Scale Discovery
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
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.
From Detection to Disclosure — Key Takeaways on AI Ethics from COPE’s Forum
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.
Rise of the Machine Readers: What They Really Want to Read
As AI becomes a major consumer of research, scholarly publishing must evolve: from PDFs for people to structured, high-quality data for machines.