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 theorize how
AI systems consolidate institutional control across education, warfare, and digital
discourse. It identifies a shared recursive architecture in which algorithms mediate
judgment, obscure accountability, and constrain moral and epistemic agency.
Grounded in critical discourse analysis and sociotechnical ethics, the
paper examines how AI systems normalize hierarchy through abstraction and
feedback. Case studies—automated proctoring, autonomous weapons, and content
recommendation—are analyzed alongside cultural imaginaries such as Orwell’s
Nineteen Eighty-Four, Skynet, and Black Mirror, used as heuristic tools to surface
ethical blind spots.
The analysis integrates Fairness, Accountability, and Transparency (FAccT),
relational ethics, and data justice to explore how predictive infrastructures enable
moral outsourcing and epistemic closure. By reframing AI as a communicative and
institutional infrastructure, the article calls for governance approaches that center
democratic refusal, epistemic plurality, and structural accountability.

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Item Type:	Preprint
Creators:	Creators Email ORCID Oguz, Hasan hoguz17@posta.pau.edu.tr 0000-0001-7484-4415
Additional Information:	21 page, 1 figure and 2 table submitted to MetaScientia HPS.
Keywords:	AI ethics, algorithmic accountability, digital governance, authoritarian recursion, predictive infrastructures, critical discourse analysis, educational surveillance, autonomous weapons, platform power, epistemic closure
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Artificial Intelligence
Depositing User:	Dr. Hasan Oguz
Date Deposited:	25 Aug 2025 13:19
Last Modified:	25 Aug 2025 13:19
Item ID:	26372
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Artificial Intelligence
Date:	6 August 2025
URI:	https://philsci-archive.pitt.edu/id/eprint/26372

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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