[…] as organic life forms. The challenges that Naylor puts forward are significant – the function of identity, the prioritization of artificial intelligence in a highly competitive and mechanized society, the vulnerability of humans living in such a society, and the violence […]
[…] boiling down to shrugs of TL;DR. But this is necessary work and, despite the hopes of many, I don’t see artificial intelligence as the solution. Referring back to the previously-mentioned piece by Karin Wulf, “Book reviewing is the best kind of […]
[…] and reader; evolving open access publishing models; and the urgent need for equity and inclusion. The emerging, explosive capabilities of artificial intelligence seem likely to disrupt every facet of scholarly communication, but represent both opportunities and threats. Our theme addresses the […]
[…] alerts, citation estimates, and certain other types of analytics. One service stands out for its emphasis on the use of artificial intelligence and is placed in this category somewhat provocatively. Meta gathers fulltext from many publishers and has used this for […]
[…] publishing organizations. This may include collaborating with like-minded organizations on issues that are shaping or challenging the publishing industry — artificial intelligence and integrity, open access models, DEIA, paper mills and journal security, and cooperation between for-profit and not-for-profit publishers, for […]
[…] Workflows With Metadata (10.45am on Friday). Rick Anderson will be moderating the meeting’s closing Debate on Trust in Scholarly Publishing: Artificial Intelligence will Fatally Undermine the Integrity of Scholarly Publishing (3 PM on Friday). Hope to see you there, please say […]
[…] adaptation. The risk here is two-fold: libraries may fall behind as other technological advances (especially driven by big data or artificial intelligence) surpass it in performance, while at the same time be stuck in rigid systems that aren’t flexible or adaptable […]
[…] preprints, or diversifying peer-review processes. ChatGPT and the GPT-3 have also made us consider whether the boundaries drawn for using artificial intelligence/machine learning systems in scholarly publishing are being crossed by these large language models. In this post, I look into […]
[…] are you most proud of? Earlier, I mentioned how excited I was to see the ways in which innovations like artificial intelligence will enable us to extract learnings out of research faster and more effectively. But while innovation will drive our […]
[…] by technology and more rapid and efficient ways of working. With the further development of technology and the potential of artificial intelligence to bring efficiencies and make connections across our research corpus, the need to present that corpus in the most […]
[…] we have a clear opportunity to help the research community with our journals, our platforms, analytics capabilities, the use of artificial intelligence and machine learning to surface what is relevant, make connections and make smart decisions. What does open access / […]
[…] Clark, An-Wen Chan, Michael Schlussel, Philippe Ravaud, David Moher, Matthias Briel, Isabelle Boutron, Sara Schroter, Sally Hopewell Use of an Artificial Intelligence-Based Tool for Detecting Image Duplication Prior to Manuscript Acceptance: Daniel Evanko Publication and Collaboration Anomalies in Academic Papers Originating […]
[…] that helps people find, understand and act on research on big, cross-disciplinary, cross-sector, cross-publisher themes — ranging from war to artificial intelligence. By tapping into the issues of the day, and creating bitesize or broadly-targeted content that speaks to those issues, […]
[…] data and review transparency. These include duplicate submissions, image manipulation detection, and the ethics and desirability of the use of artificial intelligence within scholarly publishing. Our aim is to advance trusted research collectively as scholarly publishers, working closely and fostering collaboration […]
[…] least selectively. Elsevier CEO Kumsal Bayazit reported adding resources to editorial and production functions, not least of which was developing artificial intelligence systems to speed up COVID paper processing. A publisher with a substantial share of its revenues sourced from article […]