Synthetic Power and the Disappearance of Agency: Structural Authority in Educational AI

This article provides a structural literature review on the emergence of impersonal authority within artificial intelligence systems, with a particular focus on educational environments. The review identifies a common theoretical trajectory across multiple works in the last decade: the displacement of subjective agency by executable syntactic structures in AI-driven systems. Within this framework, educational algorithms are not merely tools but active carriers of decision-making protocols devoid of referential intent or ethical anchoring. Recent contributions propose that power in these systems is not exercised through semantic content but through formalized grammatical configurations capable of generating obedience without interpretation. The article surveys these developments and evaluates their implications for institutional legitimacy and epistemic control in algorithmically governed learning spaces.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-07
DOI
https://doi.org/10.5281/zenodo.15616264
Primary Topic
Cancer and biochemical research
Type
article
Field-Weighted Citation Impact
0.00
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article

Synthetic Power and the Disappearance of Agency: Structural Authority in Educational AI

Zenodo (CERN European Organization for Nuclear Research)
Cancer and biochemical research
article

Synthetic Power and the Disappearance of Agency: Structural Authority in Educational AI

article en

Abstract

This article provides a structural literature review on the emergence of impersonal authority within artificial intelligence systems, with a particular focus on educational environments. The review identifies a common theoretical trajectory across multiple works in the last decade: the displacement of subjective agency by executable syntactic structures in AI-driven systems. Within this framework, educational algorithms are not merely tools but active carriers of decision-making protocols devoid of referential intent or ethical anchoring. Recent contributions propose that power in these systems is not exercised through semantic content but through formalized grammatical configurations capable of generating obedience without interpretation. The article surveys these developments and evaluates their implications for institutional legitimacy and epistemic control in algorithmically governed learning spaces.

Zenodo (CERN European Organization for Nuclear Research)
University of Maryland, Baltimore (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 55%
Cancer and biochemical research
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