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.
Guest Post — The Ghost in the Machine: Why Generative AI is a Crisis of Authorship, Not Just a Tool
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.
Guest Post — Who Controls Knowledge in the Age of AI? Part 2, Recommendations for Stakeholders
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.
Guest Post — Who Controls Knowledge in the Age of AI? Part 1
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.
The AI Slop Overload Does Not Taste Good
AI-generated recipes are taking over the internet. How do they taste?
Guest Post — A Smarter Way to License Research Articles for AI
If LLMs are the future of information discovery, valuable scholarly content risks being left behind — unless we build a bridge with better licensing.
Ask The Chefs — New Court Decisions Issued in Cases Addressing AI Training and Copyright
We asked the Chefs for their thoughts on two important court decisions on the legality of using copyrighted materials for AI training.
Is Grammar an Inherent Product of the Human Brain?
A long-running academic controversy — do humans share a universal grammar that stems from the structure and evolution of the human brain?
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.
American Psychological Association’s Stepped Approach to Managing Responsible AI: An Interview with Aaron Wood on Employee Policies, Rights Reservation, and Research Integrity
An interview with Aaron Wood, discussing the APA’s comprehensive approach to AI.
Guest Post: Trying to Write a Paper with LLM Assistance
I tried three different large language models (LLMs) to rewrite a potential article.
Tracking the Licensing of Scholarly Content to LLMs
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
A Look Under the Hood of Scopus AI: An Interview with Maxim Khan
To learn about how Scopus AI works under the hood, we interview Elsevier Sr. VP of Analytics Products and Data Platform, Maxim Khan.
Guest Post: Jagged Edges of Conversational Interfaces Over Scholarly and Professional Content
The gaps in capability of AI will narrow over time, but publishers and end users need education on those gaps to make investment decisions and to confidently utilize Generative AI tools effectively.
The Latest “Crisis” — Is the Research Literature Overrun with ChatGPT- and LLM-generated Articles?
Journal articles with ChatGPT authored text are being found. How common is this in the literature? And how, or better yet, when, is this problematic text slipping through to publication?