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AI Syntactic Power and Legitimacy: How AI Structures Shape Power

Authors: Startari, Agustin V.;

AI Syntactic Power and Legitimacy: How AI Structures Shape Power

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

Keywords

Microwave technology, Linguistics/legislation & jurisprudence, Unsupervised Machine Learning/classification, Science/history, Data science, Supervised Machine Learning/economics, Ethics Committees/ethics, Abortion, Legal/ethics, Linguistics/organization & administration, Technology/instrumentation, Linguistics/standards, Artificial Intelligence/ethics, Science/standards, Supervised Machine Learning/ethics, Linguistics/methods, Liability, Legal, Linguistics/education, Supervised Machine Learning/classification, Machine Learning/trends, FOS: Philosophy, ethics and religion, Water science, Machine Learning/history, Linguistics/legislation & jurisprudence, Supervised Machine Learning, Physical science, Information Technology, Abattoirs/ethics, Energy technology, Legal Services/trends, Science/education, Humidifiers/ethics, History of philosophy, Artificial Intelligence/economics, Supervised Machine Learning/trends, Science, Unsupervised Machine Learning/history, Technology/ethics, Business ethics in literature, Technology/education, Linguistics/ethics, Technology/methods, Food technology, Science/instrumentation, Machine Learning/classification, Applied science, Machine learning, Machine learning--Experiments, Agreement (legal), Comparative linguistics, Philosophy, Nursing, Artificial Intelligence/trends, Philosophy, Medical, Orthodontists/ethics, Medieval philosophy, Machine Learning/legislation & jurisprudence, Ethics Committees, Clinical/ethics, Proteogenomics/ethics, Neuropathology/ethics, Environmental technology, Defamation/ethics, Machine learning--Technique, Science/trends, Artificial Intelligence/supply & distribution, Materials science, Coal technology, Military Science, Human science, Accounting/ethics, Legal text, Linguistics/statistics & numerical data, Machine Learning/ethics, Technology, Artificial intelligence, Artificial Intelligence/statistics & numerical data, Applied linguistics--Data processing, Philosophy/history, Philosophy, Dental/history, Artificial Intelligence/standards, Contemporary philosophy, Machine Learning, Linguistics/history, Legal Guardians, Heuristics/ethics, Legal profession, Modern philosophy, Machine Learning/standards, Linguistics/trends, Science/ethics, Legal Services/education, Clean technology, Legal photography--History, Behavioural science, Artificial Intelligence/supply & distribution, Machine Learning/supply & distribution, Legal regulation, Abortion, Legal/standards, Ancient philosophy, Linguistics/classification, Linguistics/organization & administration, Philosophy, Dental, Artificial Intelligence/statistics & numerical data, Legal Services/ethics, Technology Addiction, Classifiers (Linguistics), Ethics Consultation/ethics, Legal basis, Artificial Intelligence/classification, Abortion, Legal, Legal system, Justification (Ethics), Christian Science, Satellite technology, Applied ethics, Ethics Committees, Research/ethics, Machine Learning/supply & distribution, Legal remedy, Machine Learning/legislation & jurisprudence, Disruptive Technology, Artificial Intelligence/history, Applied linguistics--Research, Linguistics/statistics & numerical data, Artificial Intelligence, Supervised Machine Learning/standards, Science journalism, Abortion, Legal/veterinary, Technology, Radiologic, Legal procedure, Technology/classification, Ethics, Legal Epidemiology, Ethnic Cleansing/ethics, Data Science, Linguistics/economics, Linguistics, Thoracentesis/ethics, Machine Learning/economics, Philosophy, Electrocorticography/ethics, Ensemble learning (Machine learning), Political philosophy, AIDS (Disease)--Patients--Legal status, laws, etc., Applied linguistics--Statistical methods, Machine learning--Evaluation, FOS: Languages and literature, Cognitive Science, Linguistics/instrumentation, Abortion, Legal/economics, Legal Services, Art and science, Unsupervised Machine Learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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