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Data and Discontent

2024/05/13 by Kaylee P. Alexander, Emily Lawhead · 1 voice
Arts and Humanities · #Art, Technology, and Culture #Cybernetics and Technology in Society #Photography and Visual Culture

paper · doi:10.11588/dahj.2026.11.104802

openalex publication_date 2024/05/13 · openalex created_date 2026/06/03 · openalex updated_date 2026/06/11

Abstract

Controversy and hype have long accompanied the arrival of new image-making technologies. Today, the rapid proliferation of artificial intelligence (AI) tools has ignited new debates over the role of technology in creative production and the extent to which machine outputs might constitute human creativity. Like photography in the nineteenth century, however, AI is emergent and experimental with a continuously developing relationship to the artworld. This article places AI in dialogue with the history of photography not only to contextualize its emergence within a longer trajectory of data-driven, image-making technologies, but also to demonstrate the theoretical frameworks that link them. By tracing historical development, function, and public reception, we argue that the convergence of AI and photography signals a shift in how photography itself is being understood, taught, and received. Ultimately, we demonstrate how photography’s legacy provides a conceptual foundation for situating AI within the field of critical art history.

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