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.
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.
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?
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 2 of this 2 part post, we discuss recommendations for stakeholders to avoid unintended harms and preserve core scientific and academic values.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 1 of this 2 part post, we discuss the results: authors are not opposed to generative AI per se, but they are strongly opposed to unregulated, extractive practices and worry about the long-term impacts of unbridled generative AI development on the scholarly and scientific enterprise.
Robert Harington talks to Carsten Buhr, CEO of De Gruyter Brill, in this series of perspectives from some of Publishing’s leaders across the non-profit and for-profit sectors of our industry.
An AAAS survey reveals authors’ concerns and confusion regarding open licensing of their work.
Robert Harington digs into the world of preprints. He uses the field of mathematics to explore how an inclusive view of preprints and published articles leads to a research ecosystem that is greater than the sum of the parts.
Robert Harington talks to Matt Kissner, CEO of Wiley, in this series of perspectives from some of Publishing’s leaders across the non-profit and for-profit sectors of our industry.
We asked the Chefs for their thoughts on two important court decisions on the legality of using copyrighted materials for AI training.
A comprehensive set of recommendations designed to support researchers, peer-reviewed journals, and funding bodies in systematically incorporating intersectional perspectives have been formalized in the Guidelines for Intersectional Analysis in Science and Technology (GIST). Here we interview Londa Schiebinger, co-author of the Guidelines.
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.
I think human-dependent peer review has lost its human element, thus its relevance, so what we can do to install a new system by abandoning the present one?