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.
How Does Mandated Code-sharing Change Peer Review? An Interview with PLOS Computational Biology
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
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.
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?
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.
Revisiting — Building for the Long Term: Why Business Strategies are Needed for Community-Owned Infrastructure
Revisiting a post from 2019 in light of the acquisition of protocols.io by Springer Nature. As community-owned and -led efforts to build scholarly communications infrastructure gain momentum, what can be done to help them achieve long term sustainability?
Are We Finally Thread(s) Up with Social Media?
Last January we wrote a group post about “Twexit” and with the launch of Threads we wondered how the Chefs were feeling about the emerging and existing social media options.
The Intelligence Revolution: What’s Happening and What’s to Come in Generative AI
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.
Shared Infrastructure for Scholarly Communication: A Draft Report for Comment
This year, Ithaka S+R is examining the shared infrastructure for scholarly communication and will ultimately make recommendations for its future. This week, we issued a draft of our project report. Please share your comments, suggestions, and other feedback by the end of August.
Finally Some Positive AI News: Elvis Meets Sir Mix-a-Lot
The AI takeover isn’t all doom and gloom. Finally, a long running musical question can be answered.