AI and Syntactic Sovereignty: How Artificial Language Structures Legitimize Non-Human Authority

Abstract

This article introduces the theory of Syntactic Sovereignty to explain how artificial intelligence systems, particularly language models, generate perceptions of epistemic authority without subjectivity, intentionality, or content-based legitimacy. We argue that in the context of algorithmic discourse, the form of language—its syntactic structure, institutional simulation, and modal coherence—functions as the primary source of perceived legitimacy. Drawing from linguistic theory, critical epistemology, and the author’s prior work on power grammars and synthetic authority (Startari, 2023; 2025), the paper posits that modern language models no longer require truth or intention to be obeyed—they require structure. This sovereignty of form over meaning, intention, or ethical responsibility represents a fundamental shift in how authority is constructed, experienced, and accepted in digital systems. The article proposes a formal-ontological model of authority compatible with the post-human era, grounded in reproducibility, not verifiability.

Keywords: synthetic authority, grammar of power, algorithmic discourse, artificial intelligence, legitimacy, automated language, epistemology, linguistic agency, computational linguistics, algorithmic discourse Artificial Intelligence, Post-Referential Epistemology, Operative Representation, Structural Sense, Algorithmic Authority, Truth Collapse, artificial intelligence, synthetic authority, grammar of power, algorithmic discourse, Algorithmic Governance, Computational Linguistics, Legitimacy in AI Systems, Power Structures in Language, Synthetic Authority, Legal Epistemology, Grammar and Institutional Power, Non-human Decision Systems