Authoritarian Recursions: How Fiction, History, and AI Reinforce Control in Education, Warfare, and Discourse

• URL: http://arxiv.org/abs/2504.09030v1
• Date: Sat, 12 Apr 2025 01:01:26 GMT
• Title: Authoritarian Recursions: How Fiction, History, and AI Reinforce Control in Education, Warfare, and Discourse
• Authors: Hasan Oguz,
• Abstract summary: This study employs a mixed-methods approach to examine how AI technologies may reproduce structures of authoritarian control.<n>The study identifies recurring patterns of harm, including unchecked autonomy, algorithmic opacity, surveillance normalization, and the amplification of structural bias.<n>The findings call for a holistic ethical framework that integrates lessons from history, critical social theory, and technical design.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The growing integration of artificial intelligence (AI) into military, educational, and propaganda systems raises urgent ethical challenges related to autonomy, bias, and the erosion of human oversight. This study employs a mixed-methods approach -- combining historical analysis, speculative fiction critique, and contemporary case studies -- to examine how AI technologies may reproduce structures of authoritarian control. Drawing parallels between Nazi-era indoctrination systems, the fictional Skynet AI from \textit{The Terminator}, and present-day deployments of AI in classrooms, battlefields, and digital media, the study identifies recurring patterns of harm. These include unchecked autonomy, algorithmic opacity, surveillance normalization, and the amplification of structural bias. In military contexts, lethal autonomous weapons systems (LAWS) undermine accountability and challenge compliance with international humanitarian law. In education, AI-driven learning platforms and surveillance technologies risk reinforcing ideological conformity and suppressing intellectual agency. Meanwhile, AI-powered propaganda systems increasingly manipulate public discourse through targeted content curation and disinformation. The findings call for a holistic ethical framework that integrates lessons from history, critical social theory, and technical design. To mitigate recursive authoritarian risks, the study advocates for robust human-in-the-loop architectures, algorithmic transparency, participatory governance, and the integration of critical AI literacy into policy and pedagogy.

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