AI and Scholarly Societies
Robert Harington provides a template for scholarly societies wondering how to grapple with the overwhelming and omnipresent prospect of an AI future.
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?
A panel attending the 2023 AUPresses Meeting hosted a conversation about optimizing books metadata and measuring its impact on search experiences in the mainstream web.
Human-dependent peer review is inequitable, suffers from injustice, and is potentially unsustainable. Here’s why we should replace it (eventually) with AI-based peer review.
How do we strike a balance between humans and AI to improve peer review? We’ve interviewed a few publishing experts who specialize in human and AI ethical, equitable, and sustainable publishing solutions to share their thoughts on the future of peer review.
In today’s Peer Review Week guest post, Joe Pold of PLOS interviews the senior editorial team of PLOS Computational Biology about their experience of mandating code sharing for the journal, and its impact on peer review
In today’s post Alice Meadows, Jasmine Wallace, and Karin Wulf kick off a week of posts to celebrate Peer Review Week 2023 with their thoughts on peer review and the future of publishing.
What is the single most pressing issue for the future of peer review in scholarly publishing? In advance of Peer Review Week, we asked the Chefs.
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
Inequities are rife in the research process, starting with the pre-award process. Based on feedback and input from researchers, research managers, and others a new report looks at the challenges and makes recommendations for how funders and institutions can address them.
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?
How does the shift to interdisciplinary research reshape the very foundation of how knowledge is generated and applied across various fields and what do the different stakeholders in academia need to do to balance the depth of specialized knowledge with the breadth of interdisciplinary understanding?
Studying the way we’ve studied the past is mutual work. Archivists and librarians, and scholars using their collections, have each been producing critical archives scholarship that too often remains within disciplinary and professional siloes.
What uses for artificial intelligence (AI) might we expect outside of the publication workflow? Some answers to this question can be found through the lenses of sustainability, justice, and resilience.
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.