Oguz, Hasan (2025) Authoritarian Recursions: How Fiction, History, and AI Reinforce Control in Education, Warfare, and Discourse. [Preprint]

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Abstract

This article introduces the concept of authoritarian recursion to describe how artificial intelligence (AI) systems increasingly mediate control across education, warfare, and digital discourse. Drawing on critical discourse analysis and sociotechnical theory, the study reveals how AI-driven platforms delegate judgment to algorithmic processes, normalize opacity, and recursively reinforce behavioral norms under the guise of neutrality and optimization. Case studies include generative AI models in classroom surveillance, autonomous targeting in military AI systems, and content curation logics in platform governance.

Rather than treating these domains as disparate, the paper maps their structural convergence within recursive architectures of abstraction, surveillance, and classification. These feedback systems do not simply automate tasks---they encode modes of epistemic authority that disperse accountability while intensifying political asymmetries. Through cultural and policy analysis, the article argues that authoritarian recursion operates as a hybrid logic, fusing technical abstraction with state and market imperatives. The paper concludes by outlining implications for democratic legitimacy, human oversight, and the political design of AI governance frameworks.

This framework contributes to emerging debates on algorithmic accountability by foregrounding how recursion acts not merely as a technical function but as a sociopolitical instrument of control.

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Item Type:	Preprint
Creators:	Creators Email ORCID Oguz, Hasan hoguz17@posta.pau.edu.tr 0000-0001-7484-4415
Additional Information:	v2
Keywords:	authoritarian recursion, AI governance, algorithmic accountability, surveillance, recursive control, critical discourse analysis, sociotechnical systems, educational technology, military AI, platform regulation
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Artificial Intelligence
Depositing User:	Dr. Hasan Oguz
Date Deposited:	19 May 2025 12:43
Last Modified:	19 May 2025 12:43
Item ID:	25336
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Artificial Intelligence
Date:	16 May 2025
URI:	https://philsci-archive.pitt.edu/id/eprint/25336

Available Versions of this Item

• Educating the Machine: Ethical Imperatives for AI in Military and Educational Systems Through Historical and Fictional Lenses. (deposited 09 Apr 2025 14:40)

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