Editor’s Note: Today’s post is by Stuart Leitch. Stuart is the Chief Technology Officer at Silverchair. Artificial intelligence and large language models have the potential to change, even disrupt, every aspect of scholarly publishing, from how infrastructure and platforms are developed […]
A selection of questions and answers from Copyright Clearance Center’s response to the United States Copyright Office “Artificial Intelligence and Copyright” request for comment.
No one will dispute that AI ( Artificial Intelligence) needs to “eat” data, preferably in massive quantities, to develop. The better the data quality, the better the result. When thinking about the potential applications of AI in scholarly communications as related […]
New data literacy and artificial literacy standards are necessary and emerging. The workflows and iterative mindsets the Digital Humanities can help inform our approaches.
[…] with the changing needs of our customers, most recently in major markets like India and Brazil. We’re working to shape artificial intelligence (AI), not just by licensing our content for model training, but by building strategic partnerships with developers and R&D-intensive […]
[…] raised about the use of AI in the recent restoration of Notre Dame. When a corporate entity works to understand artificial intelligence and the practical results of its use, that’s a sound investment of staff time and resources. BBC technicians and […]
[…] and reviewers. Editorial oversight is more than a mechanical process. It requires: Critical thinking Creative interpretation Nuanced understanding Scholarly intuition Artificial intelligence can efficiently manage routine tasks like initial manuscript screening, but it cannot replicate the depth of human judgment. The […]
[…] Management, she leads on Open Access and contributes to the society’s current work on the potential benefits and limitations of artificial intelligence (AI) in research and education. When the Open Access (OA) movement gained momentum in the early 2000s, its proponents […]
Artificial intelligence (AI) is transforming the academic landscape. It has become a powerful tool for researchers across disciplines and boundaries. From automating tedious literature reviews to analyzing complex datasets with unprecedented speed and precision, there is immense potential for what […]
As 2022 drew to a close, a great deal of popular attention was drawn to the latest artificial intelligence chatbot, ChatGPT, which was released in November 2022 by OpenAPI. (As an aside, the company has a had a very interesting background […]
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 […]
[…] authorship, ownership, and creative responsibility. Held at the Mohammed Bin Rashid Library, the summit reflected a distinctly global perspective on artificial intelligence. AI was not framed as experimental or optional. It was discussed as civic infrastructure, tied to workforce development, cultural […]
[…] methods, new constructs development and validation, theory development, business statistics, business ethics, and technology for business. The conversation around generative artificial intelligence (AI) in scholarly publishing has moved rapidly, from breathless enthusiasm to cautious policy-making. While publishers and editors have swiftly […]
[…] scholarly publishing. As part of the week, Gráinne McNamara hosted a panel discussion to continue the conversation around AI ( artificial intelligence) use: policies and reality — with a range of perspectives shared by Jeremy Ng, Elizabeth Moylan, Coco Nijhoff, and […]
We talk a lot about AI ( artificial intelligence) — I mean a LOT! The Kitchen has seen 58 posts on the topic this year alone, that’s one post or more each week! Understandably, much of this has focused on the […]