The AI gaze and imagined places: Co-creation and negotiation with the generative AI assemblage

Generative artificial intelligence (GAI) is increasingly used to produce images of places, yet how users negotiate representations of real locations remains understudied. Building on the tourist gaze, we propose the AI gaze: a technologically mediated way of seeing place that is co-produced through negotiation between users and the socio-technical assemblage underlying GAI. Combining semantic image analysis, interviews, and 523 prompts from 36 participants in Poznań and Birmingham, we show that these images reinforce stereotypical tropes, lack diversity, and include visual glitches. We argue that the AI gaze is distinct because of how agency is distributed: the GAI-assemblage seemingly resists attempts to align images with human understandings of place, while also enabling users to remix and challenge stereotypes.

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Publication Details

Journal
Annals of Tourism Research Empirical Insights
Published
2026-10-18
DOI
https://doi.org/10.1016/j.annale.2026.100237
Primary Topic
Art, Technology, and Culture
Type
article
Field-Weighted Citation Impact
0.00
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article

The AI gaze and imagined places: Co-creation and negotiation with the generative AI assemblage

Tess Osborne, Maciej Główczyński, Michał Rzeszewski, Phil Jones
Annals of Tourism Research Empirical Insights
Art, Technology, and Culture
article

The AI gaze and imagined places: Co-creation and negotiation with the generative AI assemblage

Tess Osborne, Maciej Główczyński, Michał Rzeszewski, Phil Jones
article en

Abstract

Generative artificial intelligence (GAI) is increasingly used to produce images of places, yet how users negotiate representations of real locations remains understudied. Building on the tourist gaze, we propose the AI gaze: a technologically mediated way of seeing place that is co-produced through negotiation between users and the socio-technical assemblage underlying GAI. Combining semantic image analysis, interviews, and 523 prompts from 36 participants in Poznań and Birmingham, we show that these images reinforce stereotypical tropes, lack diversity, and include visual glitches. We argue that the AI gaze is distinct because of how agency is distributed: the GAI-assemblage seemingly resists attempts to align images with human understandings of place, while also enabling users to remix and challenge stereotypes.

Annals of Tourism Research Empirical InsightsVol. 7(2)
Adam Mickiewicz University in Poznań (PL), University of Reading (GB), University of Birmingham (GB)
Openalex Percentile: Top 2%
Art, Technology, and Culture
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