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.
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.
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.
The AI takeover isn’t all doom and gloom. Finally, a long running musical question can be answered.
Revisiting a post from 2017: Several services aim to gather all publications comprehensively. Who has all the content?
The current uproar over artificial intelligence does not show us what the future of AI will look like, but rather how a human population falls into predictable patterns as it contemplates any new development: we are observing not AI but ourselves observing AI.
A new collaboration between JSTOR and the social annotation tool Hypothesis has seen more instructional uses of content and greater engagement among students with the material.
Shamsi Brinn (UX Manager at arXiv) and Bill Kasdorf (Principal of Kasdorf & Associates, LLC) discuss the recent Accessibility Forum hosted by arXiv. Over 2,000 people registered for the Forum; over 350 attended the live event; and hundreds more are accessing the recently published videos.
Will artificial intelligence fatally undermine the integrity of scholarly publishing? A formal debate from the annual meeting of the Society for Scholarly Publishing.
The Supreme Court has ruled in the Andy Warhol–Prince fair use case. What does this mean for scholarly communications, and the reuse of materials for AI training?
Digital transformation can revolutionize the world, turning it into an inclusive place for people with and without disabilities, with accessibility powered by artificial intelligence.
Read what Chefs Angela Cochran and Alice Meadows (respectively) have to say about the recent ISMPP conference and RDA 20th Plenary Meeting in today’s Smorgasbord
Today’s post looks at loosely coupled software and services that together could be used to create a modular library system. What are the merits, and flaws, of such an approach and what can libraries (and technology providers) do to remedy some of the less desired effects of such strategies?
Why is the unified dream of library software still so strong among the library community? In an ever more diverse library landscape, why do we still envision and talk about THE library system? And what are the alternatives?
Data quality and record keeping are going to grow in importance as a result of AI applications.