The Mirror That Governs: AI as System Recursion

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Auteur principal: Rupture, Signal
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2026
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_version_ 1866901637890572288
author Rupture, Signal
author_facet Rupture, Signal
contents <p>The Mirror That Governs: AI as System Recursion examines artificial intelligence not as a technological breakthrough but as a recursive system — a mirror reflecting the assumptions, biases, and control mechanisms of the structures that built it. Drawing on surveillance capitalism, algorithmic discrimination, metadata extraction, adversarial stylometry, and cognitive capture, the essay argues that AI governance is less about safety and more about containment.</p> <p>Through the lenses of infrastructural harm, predictive systems, and cultural theatre, the piece shows how AI regulation becomes a performance of oversight rather than a redistribution of power. It explores how metadata suppression and stylometric resistance emerge as survival strategies for pseudonymous creators, and how cognitive capture internalizes platform logic long before any explicit censorship occurs.</p> <p>Ultimately, the essay positions AI governance as a hall of mirrors — systems disciplining themselves through reflection — and challenges writers, researchers, and independent thinkers to navigate this recursive environment without becoming fully legible to it.</p> <p>This essay is part of the SignalRupture canon, a body of work examining contemporary systems, infrastructures, and social dynamics through a conceptual and diagnostic lens. Each piece contributes to an ongoing analysis of structural stress, digital environments, governance patterns, and the evolving relationship between individuals and large‑scale systems. The work combines theoretical reflection with infrastructural observation, offering frameworks for understanding systemic erosion, cultural shifts, and emerging forms of social complexity.</p>
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spellingShingle The Mirror That Governs: AI as System Recursion
Rupture, Signal
Social Media
Artificial Intelligence
Social Issues
Digital Platforms
Stylometric Publishing
Digital Policy
Sociology
Criminology
Activism
Feminism
<p>The Mirror That Governs: AI as System Recursion examines artificial intelligence not as a technological breakthrough but as a recursive system — a mirror reflecting the assumptions, biases, and control mechanisms of the structures that built it. Drawing on surveillance capitalism, algorithmic discrimination, metadata extraction, adversarial stylometry, and cognitive capture, the essay argues that AI governance is less about safety and more about containment.</p> <p>Through the lenses of infrastructural harm, predictive systems, and cultural theatre, the piece shows how AI regulation becomes a performance of oversight rather than a redistribution of power. It explores how metadata suppression and stylometric resistance emerge as survival strategies for pseudonymous creators, and how cognitive capture internalizes platform logic long before any explicit censorship occurs.</p> <p>Ultimately, the essay positions AI governance as a hall of mirrors — systems disciplining themselves through reflection — and challenges writers, researchers, and independent thinkers to navigate this recursive environment without becoming fully legible to it.</p> <p>This essay is part of the SignalRupture canon, a body of work examining contemporary systems, infrastructures, and social dynamics through a conceptual and diagnostic lens. Each piece contributes to an ongoing analysis of structural stress, digital environments, governance patterns, and the evolving relationship between individuals and large‑scale systems. The work combines theoretical reflection with infrastructural observation, offering frameworks for understanding systemic erosion, cultural shifts, and emerging forms of social complexity.</p>
title The Mirror That Governs: AI as System Recursion
topic Social Media
Artificial Intelligence
Social Issues
Digital Platforms
Stylometric Publishing
Digital Policy
Sociology
Criminology
Activism
Feminism
url https://doi.org/10.5281/zenodo.18143332