Data and Discontent
A Converging History of Photography and AI Art
Authors
-
Kaylee P. Alexander
J. Willard Marriott Library, University of Utah
-
Emily Lawhead
Utah Museum of Fine Arts
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.
Copyright (c) 2026 Author retains ownership of all rights under copyright in all versions of the written article. Journal retains ownership of the layout and design of the DAHJ version of the article.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2026 Author retains ownership of all rights under copyright in all versions of the written article. Journal retains ownership of the layout and design of the DAHJ version of the article.

This work is licensed under a Creative Commons Attribution 4.0 International License.

