The Political Philosophy of Artificial Intelligence

Document Type : Research Paper

Author

Associate Professor of Political Science Department, Ferdowsi University of Mashhad, Mashhad, Iran

10.22034/jpiut.2026.70031.4315

Abstract

This paper examines the political philosophy of Artificial Intelligence (AI) through three distinct approaches: optimistic positivist scientism, critical middle ground, and phenomenological pessimism. The central issue addressed is the ethical and political implications of AI, specifically how it influences governance, social structures, and human autonomy. The research questions explore how AI can be understood in terms of its potential and risks, how different political philosophies interpret its role, and what governance models can mitigate its negative consequences. The methodology adopted is a comparative analysis of key thinkers and their contributions to the debate on AI. The framework includes positivist, critical theory, and phenomenological perspectives, with a focus on how these paradigms inform the understanding of technology and its societal impact. Key theorists discussed include Francis Bacon, Karl Marx, Yuval Harari, Jürgen Habermas, Martin Heidegger, and Hannah Arendt, each offering a unique viewpoint on the nature of AI and its implications for governance and human existence. The findings highlight three divergent views: the optimistic positivist approach sees AI as a tool for progress, advocating for technological innovation and global governance; the critical middle ground emphasizes ethical oversight and regulation to prevent social inequality; and the phenomenological pessimism warns of AI’s potential to undermine human freedom and autonomy, leading to a dystopian, technocratic society. The study concludes that while AI offers significant potential for improving human life, it also raises profound challenges that require careful regulation, ethical consideration, and a commitment to preserving democratic freedoms.

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Journal of Philosophical Investigations
Volume 20, Issue 54 - Serial Number 54
Articles
Issue 54, Spring 2026
February 2026
Pages 463-482

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