How AI systems work by recycling a narrow set of visual tropes in their training data that have very little to do with human notions of intelligence or creativity is shown.
Abstract
This article addresses the question of the ‘magic of AI’ from two interrelated perspectives: first, as a form of belief in the seemingly magical or miraculous ability of AI to replicate human-like knowledge, intelligence and creativity; and second, as a kind of magic trick used by the tech companies to make users believe in AI's extraordinary powers. By reframing AI as both a system of belief and a ritualistic marketing practice, the article argues for a shift of focus away from abstract philosophical debates about AI's existential risks towards a more ethnographically grounded analysis of how such illusions of magic – of AI's intelligence and creativity – are produced and sustained in the first place. Drawing on an ethnographic case study of how text-to-image (TTI) AI models represent controversial historical events such as the 1984 Ethiopian famine, the article shows how AI systems work by recycling a narrow set of visual tropes in their training data that have very little to do with human notions of intelligence or creativity. Underpinning the popular discourse of AI as magic we can thus find an emerging system of power in which tech companies sell the ‘miracle’ version of AI, while users receive only the ‘magic trick’.
This article examines how practitioners engage with the technology's perceived opacity by placing practitioners’ own descriptions of AI within broader anthropological discussions of magic, and argues that references to ‘AI as magic’ help situate rapidly evolving technological systems within everyday lifeworlds.
It is argued that anthropology requires a new conceptual framework for understanding the contemporary social life of artificial intelligence (AI), and "the magic of AI" is proposed as an analytical concept that shifts attention from AI's technical capacities to the beliefs, uncertainties, and sociotechnical imaginaries...
M. Baas, Roanne van Voorst· Anthropological Theory· 2 citations
It is argued that LLMs represent a fundamental shift in human-technology interaction, one requiring ritualistic linguistic precision rather than technical commands, and that effective prompt construction functions as ritual magic through three essential elements: clear and specific language, contextual framing, and str...
T. Malefyt, Matt Artz· Journal of Business Anthropo...· 1 citation
Chimamanda Ngozi Adichie’s metafictional short story, “Jumping Monkey Hill” is used as a laboratory to explore the relationship between fictionality and believability in a situation where rhetorical cues about a text’s ontological status are misleading and how literary ways of reading might inform engagement with AI te...
It is argued that there are fruitful comparisons to be made between the rhetoricians-as-teachers portrayed by Plato, and generative AI for education, both as a diagnosis of a current state and as a more normative steer for future developments.
Clare Jarmy· The Journal of Classics Teac...· 0 citations
This paper argues that the underrepresentation of their visual cultures in AI models stems from their semi-peripheral status within global technological and economic systems, and proposes supporting dissident artistic practices that promote regional digital and digitally sustainable cultures.
Michał Krzykawski· Disegno· 1 citation
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