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2025 (English) In: Scandinavian Journal of History, ISSN 0346-8755, E-ISSN 1502-7716, Vol. 50, no 4, p. 458-488Article in journal (Refereed) Published
Abstract [en] This article critically explores how the AI image model Stable Diffusion generates visual histories of Scandinavia in the 1930s. While the past has always been mediated, this study suggests that generative AI models constitute a black-boxed yet easily accessible tool for the narration of history. We draw on recent works in digital memory studies and use an explorative hands-on methodology to subject AI images to visual semiotic analysis to better grasp and discuss how generative models produce synthetic representations of the past. Focusing on how the model generates modernity symbols and historical figures, we unpack a series of issues concerning the relationship between AI and historical representation that warrants further research. Along with the generated results, we discuss limitations in the training data, tension between generic past and historic specificities, as well as how Stable Diffusion produces an algorithmic tourist gaze, national stereotypes, and anachronisms. This article heeds the call to employ infrastructure-centric approaches to understand how tech companies govern users’ capacity to shape memory practices and craft popular images of the past.
Place, publisher, year, edition, pages
Taylor & Francis, 2025
Keywords Artificial intelligence, digital memory, Scandinavian history
National Category
History Media and Communication Studies
Identifiers urn:nbn:se:mau:diva-78656 (URN) 10.1080/03468755.2025.2511644 (DOI) 001517709200001 () 2-s2.0-105009492896 (Scopus ID)
Funder Riksbankens Jubileumsfond, P21-0012
2025-07-152025-07-152025-08-18 Bibliographically approved