Algorithmic Governance OS: Base Specification (v1)

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Authors: Yuji Marutani
Cited by: 0

Abstract

Algorithmic Governance OS: Base Specification (v1) presents the foundational architecture of a new political theory designed for the age of large-scale computation, platform sovereignty, and automated decision-making. This release defines the core concepts, structural mechanisms, and infrastructural conditions that shape contemporary governance as it migrates from human institutions to algorithmic systems. The project introduces Will-less Sovereignty, a form of power exercised without intention or decision, emerging from optimization processes embedded in cloud infrastructures, supply chains, and platform governance protocols. Sovereignty becomes a property of computation rather than a function of human will. This shift is accompanied by the rise of Exception State OS, where visibility and invisibility are produced through algorithmic modulation of attention rather than sovereign declarations. Crises, panics, and zones of abandonment emerge as statistical artifacts of engagement-driven systems. The theory further develops Chosen People OS, a framework describing how algorithmic systems selectively amplify certain individuals, groups, and behaviors based on compatibility with optimization logic. Chosenness becomes non-narrative, non-ethical, and non-intentional—an emergent outcome of computational selection rather than cultural or religious designation. Across eight chapters, the manuscript analyzes the migration of governance functions into backend infrastructures, the UI‑ification of political institutions, the algorithmic programming of desire, the consolidation of platform sovereignty, the integration of global supply chains, the rise of autonomous policing, and the automation of expertise. These domains collectively form the operational layers of Algorithmic Governance, a mode of rule characterized by prediction, classification, modulation, and infrastructural enforcement. This v1 release functions as the Base Specification of the theory. It establishes the conceptual kernel, core modules, and structural logic that will be expanded in subsequent versions. Future releases will extend the analysis to education, identity formation, global conflict, and the long-term evolution of post-human governance architectures. The project is released under a Creative Commons Attribution 4.0 license to support open dissemination, citation, and adaptation. It is intended as a modular, reusable theoretical framework for researchers, policymakers, technologists, and artists exploring the political implications of algorithmic systems.

Fields of Study & Subjects

Ethics and Social Impacts of AI E-Government and Public Services Cybernetics and Technology in Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN