Generative AI is rapidly becoming integral to digital scholarly editing workflows, as demonstrated by diverse initiatives from the digital humanities, including workshops by the Institute for Documentology and Scholarly Editing (IDE) at the last two annual DH conferences. Large Language Models offer considerable potential across the editorial pipeline—from conversion processes, text annotation, named entity recognition, normalization, and translation, extending to application development and visualization. However, their non-deterministic nature fundamentally shifts editorial work. This requires expert-in-the-loop approaches to maintain scholarly rigor while ensuring these technologies supplement rather than replace thorough methodology and scholars’ interpretive work. Their implementation requires critical engagement with environmental factors, legal questions regarding the legitimate use of training data, and considerations of ethics and scholarly integrity concerning reproducibility and transparency.

On June 25 at 11:00 EDT, Animating Text Newcastle University will host Dr. Martina Scholger (University of Graz) for a presentation on the applicability of generative AI in digital editing workflows and the resulting transformation of editorial processes as seen with long-established digital edition projects at the University of Graz’s Department of Digital Humanities.

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