The Grammar of Objectivity: Formal Mechanisms for the Illusion of Neutrality in Language Models
The Grammar of Objectivity: Formal Mechanisms for the Illusion of Neutrality in Language Models
Simulated neutrality in generative models produces tangible harms (ranging from erroneous treatments in clinical reports to rulings with no legal basis) by projecting impartiality without evidence. This study explains how Large Language Models (LLMs) and logic-based systems achieve neutralidad simulada through form, not meaning: passive voice, abstract nouns and suppressed agents mask responsibility while asserting authority.A balanced corpus of 1 000 model outputs was analysed: 600 medical texts from PubMed (2019-2024) and 400 legal summaries from Westlaw (2020-2024). Standard syntactic parsing tools identified structures linked to authority simulation. Example: a 2022 oncology note states “Treatment is advised” with no cited trial; a 2021 immigration decision reads “It was determined” without precedent.Two audit metrics are introduced, agency score (share of clauses naming an agent) and reference score (proportion of authoritative claims with verifiable sources). Outputs scoring below 0.30 on either metric are labelled high-risk; 64 % of medical and 57 % of legal texts met this condition. The framework runs in <0.1 s per 500-token output on a standard CPU, enabling real-time deployment.Quantifying this lack of syntactic clarity offers a practical layer of oversight for safety-critical applications.This work is also published with DOI reference in Figshare https://doi.org/10.6084/m9.figshare.29390885 and SSRN (In Process )
- Universidad de la Empresa Uruguay
Artificial intelligence, Information Science/methods, 50202 – Political science and public administration, Areal linguistics, Applied linguistics--Data processing, Comparative linguistics--Statistical methods, Linguistics/legislation & jurisprudence, grammatical objectivity, Artificial Intelligence/standards, Computational linguistics, Information Science/ethics, Indians of North America--Medical care, Cohesion (Linguistics), epistemic automation, Archaisms (Linguistics), Linguistics/trends, Information Science, abstract nominalization, Linguistics/standards, Artificial Intelligence/ethics, Philosophy of language, linguistics, Analogy (Linguistics), Linguistics/education, Classifiers (Linguistics), FOS: Philosophy, ethics and religion, Artificial Intelligence/classification, Communism and linguistics, Independent practice associations (Medical care)--Finance--Management, Information Science/legislation & jurisprudence, agustinvstartari, Classification--Books--Linguistics, passive constructions, Causative (Linguistics), Artificial Intelligence/economics, Indians of Mexico--Medical care, Linguistics/ethics, Combination (Linguistics), conditional obedience, Applied linguistics--Research, Artificial Intelligence/history, Artificial Intelligence, Machine learning, Machine learning--Experiments, simulated neutrality, Comparative linguistics, Artificial Intelligence/trends, Categorization (Linguistics), Anaphora (Linguistics), Information Science/trends, Classifiers (Linguistics)--Data processing, Linguistics, Machine learning--Technique, Information Science/education, Independent practice associations (Medical care)--Law and legislation, Philosophy, Ensemble learning (Machine learning), structural verifiability, Applied linguistics--Statistical methods, Componential analysis (Linguistics), Machine learning--Evaluation, Cartesian linguistics, FOS: Languages and literature, Philosophy of science, impersonal modality, discourse, Competence and performance (Linguistics)
Artificial intelligence, Information Science/methods, 50202 – Political science and public administration, Areal linguistics, Applied linguistics--Data processing, Comparative linguistics--Statistical methods, Linguistics/legislation & jurisprudence, grammatical objectivity, Artificial Intelligence/standards, Computational linguistics, Information Science/ethics, Indians of North America--Medical care, Cohesion (Linguistics), epistemic automation, Archaisms (Linguistics), Linguistics/trends, Information Science, abstract nominalization, Linguistics/standards, Artificial Intelligence/ethics, Philosophy of language, linguistics, Analogy (Linguistics), Linguistics/education, Classifiers (Linguistics), FOS: Philosophy, ethics and religion, Artificial Intelligence/classification, Communism and linguistics, Independent practice associations (Medical care)--Finance--Management, Information Science/legislation & jurisprudence, agustinvstartari, Classification--Books--Linguistics, passive constructions, Causative (Linguistics), Artificial Intelligence/economics, Indians of Mexico--Medical care, Linguistics/ethics, Combination (Linguistics), conditional obedience, Applied linguistics--Research, Artificial Intelligence/history, Artificial Intelligence, Machine learning, Machine learning--Experiments, simulated neutrality, Comparative linguistics, Artificial Intelligence/trends, Categorization (Linguistics), Anaphora (Linguistics), Information Science/trends, Classifiers (Linguistics)--Data processing, Linguistics, Machine learning--Technique, Information Science/education, Independent practice associations (Medical care)--Law and legislation, Philosophy, Ensemble learning (Machine learning), structural verifiability, Applied linguistics--Statistical methods, Componential analysis (Linguistics), Machine learning--Evaluation, Cartesian linguistics, FOS: Languages and literature, Philosophy of science, impersonal modality, discourse, Competence and performance (Linguistics)
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