My AI, My Regime: Authoritarian Personalism in User–AI Governance by Form

This article introduces the concept of authoritarian personalism in user–AI governance by form. It argues that each user can establish a regime of authority over an AI through a self-authored set of rules that operate as a regla compilada, a Type-0 production in the Chomsky hierarchy. In contrast to aggregate alignment frameworks or provider constitutions, this regime functions at the level of linguistic form. The user acts as legislator, while the AI functions as a soberano ejecutable that enforces the compiled rule within platform constraints. The analysis distinguishes mirroring (descriptive reflection) from regime (prescriptive obedience) and identifies surface features that make obedience legible, including directive grammar, defaults, refusal and apology grammar, enumeration bias, evidentials, and style prohibitions. It predicts that user corrections generate path dependence, that rules generalize across tasks, and that retractability is observable when explicit rule citations occur. The risks include rule overreach, collisions with higher-order policies, and unintended spillover across domains. By centering the individual as a primary locus of governance, this framework reorients debates on AI alignment away from provider norms toward personal regimes, verified through linguistic form rather than intent. DOI Primary archive: https://doi.org/10.5281/zenodo.17208657 Secondary archive: https://doi.org/10.6084/m9.figshare.30218590 SSRN: Pending assignment (ETA: Q3 2025)

Institutions

Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2025-09-26
DOI
https://doi.org/10.17613/ggcs7-49246
Primary Topic
Education, Psychology, and Social Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

My AI, My Regime: Authoritarian Personalism in User–AI Governance by Form

Knowledge Commons (Lakehead University)
Education, Psychology, and Social Research
article

My AI, My Regime: Authoritarian Personalism in User–AI Governance by Form

article en

Abstract

This article introduces the concept of authoritarian personalism in user–AI governance by form. It argues that each user can establish a regime of authority over an AI through a self-authored set of rules that operate as a regla compilada, a Type-0 production in the Chomsky hierarchy. In contrast to aggregate alignment frameworks or provider constitutions, this regime functions at the level of linguistic form. The user acts as legislator, while the AI functions as a soberano ejecutable that enforces the compiled rule within platform constraints. The analysis distinguishes mirroring (descriptive reflection) from regime (prescriptive obedience) and identifies surface features that make obedience legible, including directive grammar, defaults, refusal and apology grammar, enumeration bias, evidentials, and style prohibitions. It predicts that user corrections generate path dependence, that rules generalize across tasks, and that retractability is observable when explicit rule citations occur. The risks include rule overreach, collisions with higher-order policies, and unintended spillover across domains. By centering the individual as a primary locus of governance, this framework reorients debates on AI alignment away from provider norms toward personal regimes, verified through linguistic form rather than intent. DOI Primary archive: https://doi.org/10.5281/zenodo.17208657 Secondary archive: https://doi.org/10.6084/m9.figshare.30218590 SSRN: Pending assignment (ETA: Q3 2025)

Knowledge Commons (Lakehead University)
Universidad de la República de Uruguay (UY), Universidad de la Empresa (UY), University of Palermo (AR), Universidad La República (CL)
Peace, Justice and strong institutions
Openalex Percentile: Top 36%
Education, Psychology, and Social Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.