Guest Post — Could AI Help Fix Peer Review, or Will it Only Make Things Worse?
Today’s post asserts that peer review, which is still of vital importance to science, is clearly failing in the current age — could AI save the day?
Today’s post asserts that peer review, which is still of vital importance to science, is clearly failing in the current age — could AI save the day?
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.
An interview with Aaron Wood, discussing the APA’s comprehensive approach to AI.
I tried three different large language models (LLMs) to rewrite a potential article.
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?
ChatGPT has popularized generative AI, but interpretive AI has quietly remained in the shadows. Interpretive AI offers profound insights into content and audience engagement, a critical tool for publishers aiming to harness the full potential of AI.
The short story “The Library of Babel” by Jorge Luis Borges provides an opportunity to consider the veracity of AI-generated information.
It’s been “the year of generative AI”, so Charlie Rapple asked ChatGPT to write some cracker-standard Christmas jokes with a scholarly communications theme.
Robert Harington provides a template for scholarly societies wondering how to grapple with the overwhelming and omnipresent prospect of an AI future.
In 2023, AI has been back in the news in a big way. Large Language Models and ChatGPT threatened our’s and many other industries with huge disruption. As with so many threatened techno-shocks, a large degree of this one was hype, but what will happen after the hype fades. What, if anything, will be the lasting legacy of ChatGPT?
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
Was a recent Scholarly Kitchen piece analyzing the capabilities of ChatGPT a fair test? What happens if you run a similar test with an improved prompt on LLMs that are internet connected and up to date?
To identify both benefits and risks of generative AI for our industry, we tested ChatGPT and Google Bard for authoring, for submission and reviews, for publishing, and for discovery and dissemination.
An update on how generative AI has progressed and how it has been applied to research publishing processes since ChatGPT was released, looking at business, application, technology, and ethical aspects of generative AI.
The AI takeover isn’t all doom and gloom. Finally, a long running musical question can be answered.