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The Digital Leviathan: Medializing Sovereignty for Critical AI and Data Studies

2025/11/07 by Tristan Thielmann, Christoph Borbach
Computer Science · Social Sciences · #Actor–network theory (ANT) #Critical AI Studies #Data Life Cycle #Data Studies #Digital Education and Society #Digital Media and Philosophy #Digital Sovereignty #Ethics and Social Impacts of AI #Media Theory #Thomas Hobbes

paper · doi:10.7275/cpo.3521

openalex publication_date 2025/11/07 · openalex created_date 2025/11/08 · openalex updated_date 2026/07/01

Abstract

This introduction to the special issue investigates the concept of digital sovereignty at the intersection of political philosophy, media theory, and Critical AI and Data Studies. While sovereignty has traditionally been tied to the nation state, current debates—ranging from platform governance and data capitalism to the discourse on Sovereign AI—demonstrate that power is increasingly mediated by corporate infrastructures and algorithmic systems. Revisiting Thomas Hobbes’ Leviathan and its medial figuration of sovereignty, the article traces how sovereignty has always been articulated through representational practices and visual strategies. Building on actor-network theory, the article argues that digital sovereignty must be understood as a distributed, recursive, and conditional phenomenon: it emerges through socio-technical mediations across data life cycles, platform infrastructures, and algorithmic practices. The analysis develops a framework for examining how sovereignty is reconfigured under digital conditions, highlighting both its paradoxical specificity and its entanglement with data objects, infrastructural dependencies, and media imaginaries. In this way, the paper positions digital sovereignty as a central object of inquiry for Critical AI and Data Studies, offering conceptual tools to address its practices, infrastructures, and theories through the contributions gathered in this special issue.

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