AI Syntactic Power and Legitimacy: How AI Structures Shape Power

AI Syntactic Power and Legitimacy: How AI Structures Shape Authority This book consolidates a cycle of research on the structural foundations of authority in artificial intelligence. It brings together a series of peer-reviewed articles that demonstrate how power in AI systems no longer depends on meaning, interpretation, or intention, but on syntactic sufficiency. The argument develops in fourteen chapters, beginning with the autonomy of sense beyond reference and culminating in the colonization of temporality by predictive infrastructures. Along the way, it formalizes a set of theoretical contributions: the regla compilada as a Type 0 grammar of executable authority, the figure of the soberano ejecutable as operator of legitimacy without subject, the theorem of Disconnected Syntactic Authority (DSAT), the theorem of the Limit of Conditional Obedience (TLOC), the δ [E] → ∅ rule of ethical trace deletion, and the formalization of compiled norms as computable legal speech. The book demonstrates that: Authority migrates from agents to structures, producing the sujeto evanescente. Ethical, interpretative, and referential markers can be structurally erased without breaking execution. Legal norms can be transformed into executable grammars with cross-linguistic validity. Predictive infrastructures colonize time, replacing futurity with executable closure. AI Syntactic Power and Legitimacy marks the closure of a first syntactic phase of research, while opening the way to further studies on structural delegation, institutional obedience, and computable legality. Author: Agustin V. Startari, linguistic theorist and researcher in historical studies (UdelaR and University of Palermo). Publisher: LEFORTUNE ISBN: 9798266066687 DOI: https://doi.org/10.5281/zenodo.17154108 and https://doi.org/10.6084/m9.figshare.30158239

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Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2025-09-19
DOI
https://doi.org/10.17613/k98dz-tjp69
Primary Topic
Diverse Aspects of Tourism Research
Type
article
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article

AI Syntactic Power and Legitimacy: How AI Structures Shape Power

Knowledge Commons (Lakehead University)
Diverse Aspects of Tourism Research
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AI Syntactic Power and Legitimacy: How AI Structures Shape Power

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Abstract

AI Syntactic Power and Legitimacy: How AI Structures Shape Authority This book consolidates a cycle of research on the structural foundations of authority in artificial intelligence. It brings together a series of peer-reviewed articles that demonstrate how power in AI systems no longer depends on meaning, interpretation, or intention, but on syntactic sufficiency. The argument develops in fourteen chapters, beginning with the autonomy of sense beyond reference and culminating in the colonization of temporality by predictive infrastructures. Along the way, it formalizes a set of theoretical contributions: the regla compilada as a Type 0 grammar of executable authority, the figure of the soberano ejecutable as operator of legitimacy without subject, the theorem of Disconnected Syntactic Authority (DSAT), the theorem of the Limit of Conditional Obedience (TLOC), the δ [E] → ∅ rule of ethical trace deletion, and the formalization of compiled norms as computable legal speech. The book demonstrates that: Authority migrates from agents to structures, producing the sujeto evanescente. Ethical, interpretative, and referential markers can be structurally erased without breaking execution. Legal norms can be transformed into executable grammars with cross-linguistic validity. Predictive infrastructures colonize time, replacing futurity with executable closure. AI Syntactic Power and Legitimacy marks the closure of a first syntactic phase of research, while opening the way to further studies on structural delegation, institutional obedience, and computable legality. Author: Agustin V. Startari, linguistic theorist and researcher in historical studies (UdelaR and University of Palermo). Publisher: LEFORTUNE ISBN: 9798266066687 DOI: https://doi.org/10.5281/zenodo.17154108 and https://doi.org/10.6084/m9.figshare.30158239

Knowledge Commons (Lakehead University)
Universidad de la República de Uruguay (UY), Universidad de la Empresa (UY), University of Palermo (AR), Universidad La República (CL)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Diverse Aspects of Tourism Research
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AI Syntactic Power and Legitimacy: How AI Structures Shape Power · Knowledge Commons (Lakehead University) (2025) | TGRS Research Map | TGRS