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<p>This article examines how artificial intelligence systems deployed in military operations generate ‘algorithmic psychopolitics’ which is a transformation of warfare wherein automated decision architectures operate beyond human moral comprehension. Drawing on Byung-Chul Han’s philosophy and news report analysis of the Israel Defense Forces’ AI targeting systems, particularly the <i>Lavender</i> program, this investigation shows how military AI establishes a ‘digital unconscious’ that mediates between institutional intent and lethal outcomes. The analysis identifies three mechanisms through which this transformation occurs: the distribution of moral responsibility across human-machine networks, the introduction of computational opacity that resists accountability, and the merger of psychological and physical violence through algorithmic mediation. Unlike defensive systems that intercept projectiles, <i>Lavender</i> processes personal data to determine which individuals should die, assigning numerical threat scores to Gaza’s 2.3&#xa0;million residents. This shift from anti-materiel to anti-personnel AI applications raises fundamental questions about the nature of human agency in warfare. The article synthesizes Han’s concepts of psychopolitics, non-things, and the digital panopticon with Katherine Hayles’ notion of nonconscious cognition and Zygmunt Bauman’s analysis of bureaucratic violence to develop new theoretical tools for understanding algorithmic warfare. This study shows that military AI systems, though formally integrated into command structures and bound by legal regulations, produce decision patterns through computational processes beyond the prediction or control of individual operators. This creates a paradox: the systems simultaneously reflect and escape human intent. This phenomenon carries significant implications for governance, military ethics, and the evolving role of human agency in an era dominated by algorithmic decision-making.</p>

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Psychopolitics of warfare: Algorithmic violence and the digital unconscious in military AI systems

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月2日

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  • Shoaib Ul Haq

摘要

This article examines how artificial intelligence systems deployed in military operations generate ‘algorithmic psychopolitics’ which is a transformation of warfare wherein automated decision architectures operate beyond human moral comprehension. Drawing on Byung-Chul Han’s philosophy and news report analysis of the Israel Defense Forces’ AI targeting systems, particularly the Lavender program, this investigation shows how military AI establishes a ‘digital unconscious’ that mediates between institutional intent and lethal outcomes. The analysis identifies three mechanisms through which this transformation occurs: the distribution of moral responsibility across human-machine networks, the introduction of computational opacity that resists accountability, and the merger of psychological and physical violence through algorithmic mediation. Unlike defensive systems that intercept projectiles, Lavender processes personal data to determine which individuals should die, assigning numerical threat scores to Gaza’s 2.3 million residents. This shift from anti-materiel to anti-personnel AI applications raises fundamental questions about the nature of human agency in warfare. The article synthesizes Han’s concepts of psychopolitics, non-things, and the digital panopticon with Katherine Hayles’ notion of nonconscious cognition and Zygmunt Bauman’s analysis of bureaucratic violence to develop new theoretical tools for understanding algorithmic warfare. This study shows that military AI systems, though formally integrated into command structures and bound by legal regulations, produce decision patterns through computational processes beyond the prediction or control of individual operators. This creates a paradox: the systems simultaneously reflect and escape human intent. This phenomenon carries significant implications for governance, military ethics, and the evolving role of human agency in an era dominated by algorithmic decision-making.