It is difficult to exaggerate the impact of AI on academia in general and on scholarly publishing in particular. Tools such as ChatGPT and Claude have made it possible for anyone to turn free-floating information into what looks like knowledge using a combination of real and artificial intelligence. There are many open questions and knotty […]
Editors’ Summary: In this post, the author shows how the rise of AI has made the critical thinking component of using code in DH even more essential. He details his initial explorations using Claude Code to build DH web apps for use in the classroom. This post argues that the old tools of Digital Humanities […]
Editor’s Summary: This article considers the bold claim that politicians from different parties really “all sound the same”. It trains an AI model on 20+ years of Finnish parliamentary speeches and compares its guesses about affiliation with that of 438 human readers. It turns out that the system is ‘better’ at telling parties apart. Humans […]
Editors’ Summary: This post shares some practical ways college instructors can design courses so students are not completely dependent on AI. It highlights grading systems that reward process over product, moving from writing to problem solving to finally reaching a solution. It empowers the students into realising the value of thinking for themselves instead of […]
I’m sharing the product of five hours of work with Claude Cowork spread over a day. I have been using Cowork now for ten days and this is my biggest project to date. I’m an historian, not a coder. Cowork has been a revelation. The product is a static five annotation layer IIIF viewer for […]
How do researchers, journalists, and artists work with archived pages from the Internet Archive’s Wayback Machine? What kinds of tools, methods, and approaches do they use? What other kinds of tools might support critical and creative repurposing of archived web materials? As web archives have come to play an increasingly important role in understanding, reporting […]
Generative Artificial Intelligence (GAI) is not neutral; neither is it generative, nor intelligent. It is a colonial technology of extraction and replication, built on stolen data, racialized labor, and computational enclosures of language and image. It materializes what Ruha Benjamin (2019) calls “the New Jim Code” and what Safiya Noble (2018) has shown as the […]
The University of Sheffield’s Digital Humanities Institute is delighted to announce that its two-day conference will be held in Sheffield on Wednesday 2nd and Thursday 3rd September 2026. This will be a physical conference only. Digital humanities is understood by Sheffield to mean the use of technology within arts, heritage and humanities research as both […]
The Faculty of Arts is in the process of establishing an MA Programme in AI Humanities, with two emphases or streams: AI and Creative Expression, AI and Language Innovation. “AI and Creative Expression” focuses on the intersection of AI and art tech, cultural production, and creative expression, enabling graduates to expand their engagement with AI […]
This issue was curated by Colleen Nugent McLean, DHNow Project Manager and Zhihui Zou, DHNow Guest Editor. Our first Editors’ Choice argues that generative AI has fundamentally shifted which disciplines are considered most valuable. The second selection considers the importance of making informed decisions when creating data visualizations. Our third selection features an oral history […]
