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.
GPT, Large Language Models, and the Trough of Disillusionment
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?
Ending Human-Dependent Peer Review
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.
Guest Post — Striking a Balance: Humans and Machines in the Future of Peer Review and Publishing
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.
Ask the Chefs: What is the Single Most Pressing Issue for the Future of Peer Review?
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 Best Explanation I’ve Seen for How Machine Learning Works
How machines learn, as demonstrated by a pile of matchboxes playing tic-tac-toe.
Publishers, Don’t Use AI Detection Tools!
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
Navigating the Shifting Sands: New Directions Organizers on the Upcoming Seminar
Volunteer organizers reflect on SSP’s upcoming 2023 New Directions seminar — early bird registration closes September 8th!
Guest Post – Was ChatGPT Set Up to Fail? Choosing the Right Tools and the Right Prompts is Essential for LLM Discovery
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?
AI Beyond the Publishing Workflow
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.
Generative AI, ChatGPT, and Google Bard: Evaluating the Impact and Opportunities for Scholarly Publishing
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.
Guest Post — Digital Humanities, Data Literacy Skills and AI: Understanding the Way Things Work
New data literacy and artificial literacy standards are necessary and emerging. The workflows and iterative mindsets the Digital Humanities can help inform our approaches.
Will Building LLMs Become the New Revenue Driver for Academic Publishing?
Are scholarly publishers primed to become the critical content suppliers for the big Generative AI companies?
Thoreau and the Office Cubicle
Fretting over work even as you head out on vacation? A new book on Henry David Thoreau may cause you to rethink employment priorities.
Guest Post — Are HIT-backed AI Research Integrity Solutions the Need of the Hour?
In this article, Minhaj Rain explores how human intelligence tasks (HITs) and not simply more AI tools could be the way forward as a reliable and scalable solution for maintaining research integrity within the scholarly record.