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Artificial Intelligence and Synthetic Authority: An Impersonal Grammar of Power

Authors: Startari, Agustin V.;

Artificial Intelligence and Synthetic Authority: An Impersonal Grammar of Power

Abstract

This article offers a critical reading of the power exerted by artificial intelligence systems, from both linguistic and historical perspectives. Introducing the concept of synthetic authority, it examines how algorithmic technologies legitimize themselves through impersonal grammars — discursive structures that erase subjectivity and naturalize obedience. A genealogical approach connects this authority with earlier historical devices — the Church, modern science, and bureaucratic rationality — showing that AI represents a technical culmination of impersonal power. Tools from discourse analysis and critical theory are applied to reveal how the linguistic form of AI-generated statements reinforces perceived legitimacy while effacing human agency. This study is part of a broader research project developed in the unpublished manuscript Grammars of Power. Este artículo propone una lectura crítica del poder ejercido por sistemas de inteligencia artificial, desde una perspectiva lingüística e histórica. A partir del concepto de autoridad sintética, se analiza cómo las tecnologías algorítmicas se legitiman mediante gramáticas impersonales, estructuras discursivas que eliminan la subjetividad y naturalizan la obediencia. El estudio establece una genealogía que conecta esta forma de autoridad con dispositivos históricos previos —como la Iglesia, la ciencia moderna y la burocracia estatal—, para mostrar que la IA representa una culminación técnica del poder impersonal. Este trabajo forma parte del manuscrito inédito Gramáticas del Poder.

This article offers a critical reading of the power exerted by artificial intelligence systems, from both linguistic and historical perspectives. Introducing the concept of synthetic authority, it examines how algorithmic technologies legitimize themselves through impersonal grammars — discursive structures that erase subjectivity and naturalize obedience. A genealogical approach connects this authority with earlier historical devices — the Church, modern science, and bureaucratic rationality — showing that AI represents a technical culmination of impersonal power. Tools from discourse analysis and critical theory are applied to reveal how the linguistic form of AI-generated statements reinforces perceived legitimacy while effacing human agency. This study is part of a broader research project developed in the unpublished manuscript Grammars of Power.

Keywords

Action theory, Artificial intelligence, human agency, Areal linguistics, Artificial Intelligence/legislation & jurisprudence, Applied linguistics--Data processing, legitimacy, Artificial Intelligence/standards, Cohesion (Linguistics), critical theory, Linguistics/trends, Language, Linguistics/standards, Artificial Intelligence/ethics, critical, Linguistics/methods, Linguistics/classification, Linguistics/education, Classifiers (Linguistics), discursive structures, Artificial Intelligence/classification, Impersonal, Justification (Ethics), Legislative power--History, Applied ethics, Legal research--Automation, Classification--Books--Linguistics, Illegitimacy, Causative (Linguistics), Artificial Intelligence/economics, Illegitimacy/trends, Linguistics/ethics, Combination (Linguistics), Machine theory, Artificial Intelligence/history, algorithmic discourse, Artificial Intelligence, Illegitimacy/ethics, linguistic authority, Machine learning, Machine learning--Experiments, algorithmic language, Comparative linguistics, Artificial Intelligence/trends, language, Linguistics, Machine learning--Technique, Grammar of Power, Business ethics--Social aspects, Ensemble learning (Machine learning), Synthetic Authority, Applied linguistics--Statistical methods, Componential analysis (Linguistics), Power, Machine learning--Evaluation, Machine design, FOS: Languages and literature, discourse

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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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