How Text-to-Image Generative AI Is Transforming Mediated Action

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Abstract

This article examines the intricate relationship between humans and text-to-image generative models (generative artificial intelligence/genAI) in the realm of art. The article frames that relationship in the theory of mediated actiona well-established theory that conceptualizes how tools shape human thoughts and actions. The article describes genAI systems as learning, cocreating, and communicating, multimodally capable hybrid systems that distill and rely on the wisdom and creativity of massive crowds of people and can sometimes surpass them. Those systems elude the theoretical description of the role of tools and locus of control in mediated action. The article asks how well the theory can accommodate both the transformative potential of genAI tools in creative fields and art, and the ethics of the emergent social dynamics it generates. The article concludes by discussing the fundamental changes and broader implications that genAI brings to the realm of mediated action and, ultimately, to the very fabric of our daily lives.

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APA

Vartiainen, H., & Tedre, M. (2024). How Text-to-Image Generative AI Is Transforming Mediated Action. IEEE Computer Graphics and Applications, 44(2), 12–22. https://doi.org/10.1109/MCG.2024.3355808

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