If My AI Wrote this Post, Could I Own the Copyright?
Todd Carpenter reports on a forum hosted by WIPO and the Copyright Office that focused on whether copyright can apply to the works created by artificial intelligence systems.
Todd Carpenter reports on a forum hosted by WIPO and the Copyright Office that focused on whether copyright can apply to the works created by artificial intelligence systems.
In the past two years, there has been an explosion of interest in the possibilities of artificial intelligence tools, such as deep learning methods in scientific research, and — particularly in STM publishing — large language models for automated text generation. […]
Will artificial intelligence fatally undermine the integrity of scholarly publishing? A formal debate from the annual meeting of the Society for Scholarly Publishing.
Digital transformation can revolutionize the world, turning it into an inclusive place for people with and without disabilities, with accessibility powered by artificial intelligence.
[…] at Cambridge University Press. This is the second in a series of posts on AI systems, provenance tracking in generative artificial intelligence systems, and the implications on usage and assessment. The first post was published last week. The next piece in […]
We asked the Chefs for their thoughts on the Biden Administration’s Executive Order on “Safe, Secure, and Trustworthy Artificial Intelligence.”
[…] Head of AI R&D for Atypon, part of Wiley Partner Solutions, where he is responsible for overseeing the implementation of artificial intelligence–driven information discovery technologies. Sylvia is Manager, Product Marketing, Community & Content, at Wiley Partner Solutions. In our last post, […]
As artificial intelligence (AI) systems become increasingly integrated into scholarly research and knowledge dissemination, publishers face a critical challenge: how to best integrate their content into this new ecosystem. Currently, an increasing number of publishers are collaborating with AI system suppliers […]
As artificial intelligence begins to play an ever-bigger role in the scholarly publishing landscape, how might it help solve some of the biggest challenges facing publishers?
In this post – the first of two discussing artificial intelligence and information discovery – we explore the evolution of information discovery, its role in the research journey, and how it can be applied to help researchers and publishers alike.
The story about blind people describing an elephant is apt right now considering artificial intelligence systems, particularly in scholarly communications. Many people have ideas, but few, if any, can grasp the entirety of the issue. Similarly, it is also an elephant […]
[…] curation process. Of course, we have been using machine-intermediation for search and discovery for years. For all the excitement of artificial intelligence technology, the approach du jour, seems to be “Let’s have the AI do it for us.” On cue, practically […]
[…] the research process openly accessible, transparent, and reusable. As scholarly publishing starts to come to grips with changes around OR, artificial intelligence (AI) and generative AI (GAI) have crashed onto the scene, with the launch of GAI products such as ChatGPT […]
NOTE: This is the first of a multi-part post series on the issue of provenance tracking in generative artificial intelligence systems and its implications for usage and assessment. This series is one output of a workshop hosted by NISO, COUNTER, and […]
[…] Director at Morressier and the Molecular Connections Group. In September 2018, SSP’s New Directions seminar facilitated an Oxford debate on artificial intelligence (AI) in Peer Review, where Angela Cochran represented the opposition and Neil Blair Christensen the proposition. Now, they revisit […]