Gorgon Loop: An Interactive Art Installation Revealing Algorithmic Judgment through Machine Vision and Generative Language 390

Gorgon Loop is an interactive art installation that examines how AI-driven judgement systems operate in public space and how they simulate and amplify collective discourse and social gaze. The name Gorgon Loop draws on Greek mythology: like Medusa's paralysing gaze, machine vision implies power, while Medusa — shaped by projection rather than born monstrous — mirrors how AI is granted false agency. Comprising five rotatable “intelligent mirrors,” the system activates when viewers enter the installation area. Using machine vision, it translates appearance and posture into structured parameters that are both displayed on the mirror surfaces and used as input for generative language agents. These agents produce sequential, persona-constrained text commentary with evaluative overtones, unfolding across the mirrors in a format resembling a group chat. By exposing intermediate visual features, extracted descriptors, and the resulting language output as a continuous public performance, Gorgon Loop renders classification, inference, and bias perceptible as lived experience rather than hidden technical process.

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Publication Details

Journal
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Published
2026-06-29
DOI
https://doi.org/10.1145/3816086
Primary Topic
Cybernetics and Technology in Society
Type
article
Field-Weighted Citation Impact
0.00

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article

Gorgon Loop: An Interactive Art Installation Revealing Algorithmic Judgment through Machine Vision and Generative Language 390

Patrick Hartono, Shuang Li
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Cybernetics and Technology in Society
article

Gorgon Loop: An Interactive Art Installation Revealing Algorithmic Judgment through Machine Vision and Generative Language 390

Patrick Hartono, Shuang Li
article en

Abstract

Gorgon Loop is an interactive art installation that examines how AI-driven judgement systems operate in public space and how they simulate and amplify collective discourse and social gaze. The name Gorgon Loop draws on Greek mythology: like Medusa's paralysing gaze, machine vision implies power, while Medusa — shaped by projection rather than born monstrous — mirrors how AI is granted false agency. Comprising five rotatable “intelligent mirrors,” the system activates when viewers enter the installation area. Using machine vision, it translates appearance and posture into structured parameters that are both displayed on the mirror surfaces and used as input for generative language agents. These agents produce sequential, persona-constrained text commentary with evaluative overtones, unfolding across the mirrors in a format resembling a group chat. By exposing intermediate visual features, extracted descriptors, and the resulting language output as a continuous public performance, Gorgon Loop renders classification, inference, and bias perceptible as lived experience rather than hidden technical process.

Proceedings of the ACM on Computer Graphics and Interactive TechniquesVol. 9(3)
RMIT Vietnam (VN), Independent Dance (GB)
RMIT University
Openalex Percentile: Top 2%
Cybernetics and Technology in Society
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