Editors' Choice

Editors’ Choice: Conversations about conversational code: on the collaborative critical code studies reading of ELIZA

Editors’ Summary: In “Conversations about conversational code,” Mark C. Marino and colleagues revisit Joseph Weizenbaum’s ELIZA through the recovered original source code, showing how close, collaborative code reading can reshape software history. Based on four years of interdisciplinary work, the article uncovers discrepancies between Weizenbaum’s published accounts and the actual MAD-SLIP implementation, including undocumented features, […]

Editors' Choice

Editors’ Choice: Most of the Renaissance Has Never Been Read. Source Library Is Opening It.

Editors’ Summary: This post shares the launch of the Source Library project earlier this month. Source Library, founded by Derek Lomas, digitizes Renaissance-era books originally written in Latin or other languages, translates them using AI translation tools, and presents them for free on their website. This project combines OCR and machine translation to increase accessibility […]

Editors' Choice

Editors’ Choice: The problem with evidence production on AI in education

Editors’ Summary: In this post, Ben Williamson examines the growing quality control and methodological rigor crisis within the field of Artificial Intelligence in Education (AIED) research. By highlighting the recent retraction of a high-profile paper on ChatGPT and analyzing two new critical literature reviews, Williamson demonstrates how the pressure to quickly produce statistical evidence has […]

Editors' Choice

Editors’ Choice: the friction embedded in AI educational designs

Editors’ Summary: In this post, Alex Reid critiques the reliance on instructional design and “design thinking” to counter the frictionless nature of AI in higher education. Challenging the popular notion of “engineering friction” into curriculum, he argues that reducing learning to predictable outcomes merely creates automated “work” that AI easily replicates. Reid contends that AI […]

Editors' Choice

Editors’ Choice: Speculative Recommendation: Reframing AI for Interpretive Practice in the Digital Humanities

Editors’ Summary: In this paper, River Rain and Houda Lamqaddam consider how recommender systems can be reframed as speculative tools for humanistic inquiry rather than commercial personalization. By demonstrating how a fine-tuned computer vision pipeline maps visual similarities across 2,341 animated films, they highlight how algorithmic proximity can trace artistic influence and macro-level aesthetic shifts. […]

Editors' Choice

Editors’ Choice: An interactive introduction to the terrific experience of rendering Arabic typography and its technical debt

Editors’ Summary: This post considers the historical background behind the difficulty of rendering Arabic typography online. The author uses an example of a project where the Arabic prose was rendered with a ragged left edge, even though the team explicitly specified justified text. This issue had nothing to do with the specific stylesheet of the […]

Editors' Choice

Editors’ Choice: Roundtable Recap: How to digitise a physical archive to work strategically with AI?

Editors’ Summary: This roundtable, hosted by Open Knowledge Foundation in collaboration with the Association for the Advancement of Social Sciences in Guatemala, fills a key gap in digital archives by focusing on how archives and museums in the Global South or regions experiencing political or social instability can effectively engage with digital or AI tools […]

Editors' Choice

Editors’ Choice: Understanding the Environmental Impacts of Artificial Intelligence

Editors’ Summary: The tools we use are not neutral. This LibGuide intends to offer librarians, instructors, and others within the higher education community a gateway for learning more about how AI development and use are impacting the environment. By providing a set of resources that can be inserted within broader AI literacy training, the LibGuide […]

Editors' Choice

Editors’ Choice: A Skeuomorphic View of Book History

Editors’ Summary: This post considers the relationship between AI and book history. According to Cordell, the chat box relies on a flawed skeuomorphism that misleads users, obscuring rather than revealing the relationship between users’ inputs and the language model systems’ outputs. This post proposes the skeuomorph as a key heuristic for book historical scholarship and […]