New data literacy and artificial literacy standards are necessary and emerging. The workflows and iterative mindsets the Digital Humanities can help inform our approaches.
[…] 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 […]
[…] sustainable. For Publishers: Evaluate the return on investment for each model, optimize where possible, and consider sustainability in AI strategy. Intelligence Getting Cheaper The cost of delivering useful AI performance is dropping rapidly, especially for inference. For Publishers: More publishers […]
[…] 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 […]
[…] not imbedded in, and whose mortality is not compensated by, the species’ ever recurring life cycle. Work provides an “ artificial” world of things…..The human condition of work is worldliness.” In other words, when we work we produce something that […]
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 […]
[…] seen a variety of AI terms in media coverage, such as large language models (LLMs), generative AI, AI-generated content (AIGC), artificial narrow intelligence (ANI), and artificial general intelligence (AGI). Before we start, a brief explanation of these concepts and how […]
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.
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 […]
[…] also leaves them paralyzed, uncertain, and fearful. A recent New Yorker article by D. Graham Burnett, “Will the Humanities Survive Artificial Intelligence”, looks at this strange new world. On campus, we are told, many are pretending that this revolution isn’t happening, […]
[…] long history of having to reimagine themselves and their services in the face of technological advancement. With the advent of artificial intelligence (AI) search and the use of retrieval-augmented generation (RAG) in most commercially available search engines right now, we must […]
[…] great deal of the programming during the STM Conference and much of the programming around the fair was focused on artificial intelligence (AI) and its impacts on scholarly publishing. During the conference, I had an opportunity to speak at length with […]
A robust conversation has been brewing about licensing and artificial intelligence (AI). It isn’t the lawsuit question, which is pursuing apace and likely will lead in my estimation to some form of settlements for the majority of cases. The other conversation […]