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Epistemological infrastructure capture: artificial intelligence, invisible synchronization, and the algorithmic gestell

dc.contributor.authorSantos, Nuno
dc.date.accessioned2026-06-09T16:14:01Z
dc.date.available2026-06-09T16:14:01Z
dc.date.issued2026-03-16
dc.description.abstractThis article introduces "Epistemological Infrastructure Capture" as a central concept to analyze how Artificial Intelligence (AI) systems increasingly mediate the infrastructures through which relevance, legitimacy, and intelligibility are socially organized. This essay argues that under these conditions, AI can synchronize perception and steer collective cognition at scale, making propaganda, radicalization, and ideological normalization structurally more effective. This article integrates Martin Heidegger's concept of Gestell (Enframing) [3] and the historical notion of Gleichschaltung (forced coordination) to illuminate how AI, particularly Large Language Models (LLMs) and recommendation algorithms, constitutes an "Algorithmic Gestell." This framework enables what this article calls an “invisible synchronization” of thought, leading to a profound crisis of epistemological sovereignty. This article differentiates between the impacts of generative and classification AI and presents data poisoning as a privileged case within this broader context. Through a philosophical and technical lens, this article explores the ontological, sociotechnical, and security implications, advocating for robust defenses and a critical re-evaluation of AI's role in shaping collective understanding.eng
dc.identifier.doi10.5281/ZENODO.19052972
dc.identifier.other97524a9a-a3b0-4fef-bfe5-021c82585ab9
dc.identifier.urihttp://hdl.handle.net/10400.14/58069
dc.language.isoeng
dc.publisherZenodo
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectEpistemological infrastructure captureeng
dc.subjectAlgorithmic gestelleng
dc.subjectData poisoningeng
dc.subjectAI propagandaeng
dc.subjectGleichschaltungeng
dc.subjectHeideggereng
dc.subjectCognitive colonialismeng
dc.subjectLLMseng
dc.subjectRecommendation algorithmseng
dc.subjectEpisemological sovereigntyeng
dc.titleEpistemological infrastructure capture: artificial intelligence, invisible synchronization, and the algorithmic gestell
dc.typepreprint
dspace.entity.typePublication
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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