AI Syntactic Power and Legitimacy: How AI Structures Shape Power

<table><tr><td><p dir="ltr"><b>AI Syntactic Power and Legitimacy: How AI Structures Shape Authority</b></p><p dir="ltr">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.</p><p dir="ltr">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 <i>regla compilada</i> as a Type 0 grammar of executable authority, the figure of the <i>soberano ejecutable</i> 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 <i>compiled norms</i> as computable legal speech.</p><p dir="ltr">The book demonstrates that:</p><ul><li>Authority migrates from agents to structures, producing the <i>sujeto evanescente</i>.</li><li>Ethical, interpretative, and referential markers can be structurally erased without breaking execution.</li><li>Legal norms can be transformed into executable grammars with cross-linguistic validity.</li><li>Predictive infrastructures colonize time, replacing futurity with executable closure.</li></ul><p dir="ltr"><i>AI Syntactic Power and Legitimacy</i> 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.</p><p dir="ltr"><b>Author:</b> Agustin V. Startari, linguistic theorist and researcher in historical studies (UdelaR and University of Palermo).</p><h3><b>Publisher:</b><b> </b>LEFORTUNE</h3><h3><b>ISBN:</b><b> </b>9798266066687</h3><h3><b>DOI: https://doi.org/</b>10.5281/zenodo.17154108 and https://doi.org/10.6084/m9.figshare.30158239</h3></td></tr></table><p></p>