Why Authors Aren’t Disclosing AI Use and What Publishers Should (Not) Do About It
Only a negligible percentage of authors seem to actually be disclosing their AI use. Here’s why I think that’s the case.
Only a negligible percentage of authors seem to actually be disclosing their AI use. Here’s why I think that’s the case.
Today’s guest post features an interview with William Gunn discussing how AI will (or won’t!) change the future of reference management tools.
Today’s guest author raises the question of whether a researcher submitting an article that was significantly drafted by an LLM without clear disclosure is effectively engaging in a contemporary form of ghost authorship.
Todd Carpenter looks back on the past quarter century of a digital revolution in scholarly publishing.
AI is presenting new challenges while also giving us tools to innovate in ways. The most successful publishers will be those willing to challenge the status quo.
At the STM innovation and Integrity days in London last week, it’s clear that research integrity has become an increasingly pressing issue. Many publishers are reporting significant increases in submissions of questionable legitimacy. perhaps now is the time for a new alliance between publishers, funders, institutions and researchers to protect the integrity of the scholarly record, before it’s too late.
The year in search at Google — is this the last one of these we’ll see?
Rather than just bolting on AI to existing publication workflows,there is a real opportunity to rethink and redesign them for human–AI collaboration. Some thoughts on what that looks like in practice.
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.
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.
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.
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.
The STM Association offers a classification scheme for the various possible uses of AI, including GenAI, in the preparation of manuscripts.
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?
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.