Boundary conditions between humans and AI: Insights from Paul Virilio's Philosophy

Patrick Gilormini () and Rim Hachana ()
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Patrick Gilormini: UR CONFLUENCE : Sciences et Humanités (EA 1598) - UCLy - UCLy (Lyon Catholic University), ESDES - ESDES, Lyon Business School - UCLy - UCLy - UCLy (Lyon Catholic University)
Rim Hachana: UR CONFLUENCE : Sciences et Humanités (EA 1598) - UCLy - UCLy (Lyon Catholic University), ESDES - ESDES, Lyon Business School - UCLy - UCLy - UCLy (Lyon Catholic University)

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Abstract: We adopted a qualitative and conceptual design grounded in a phenomenological approach, using illustrative use cases to explore the evolving boundaries between humans and artificial intelligence (AI) machines. This article is conceptual in nature, and the methodology aims to deepen the analysis by drawing on Paul Virilio's theoretical framework, particularly his reflections on speed, technology and perception. This foundation enables a critical exploration of the human-AI interface beyond empirical observation, engaging with the philosophical implications of technological acceleration and its impact on human agency. This research aims to provide an original and useful perspective on the changing boundaries between the domains of human capabilities and those of AI machines, drawing on the contributions of technology philosopher Paul Virilio. Our objective is to apply Virilio's philosophical concepts such as "dromology," "perception prostheses," "grey ecology" and the "accident of accidents" to better delineate the frontiers of human and machine interaction.

Keywords: Organizational behavior; Employee well-being; Constraints; Counterproductive work behavior; intelligence artificielle; phénoménologie; Paul Virilio; fragilité algorithmique; travail humain (search for similar items in EconPapers)
Date: 2026-01
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Published in Journal of Managerial Psychology, 2026, pp.Online version of record. ⟨10.1108/JMP-07-2024-0511⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05646914

DOI: 10.1108/JMP-07-2024-0511

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