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Post-Judgement Systems: The Collapse of Meaning in AI-Simulated Attribution

Kim, Jinho
PhilArchive · Papers
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philosophy
This paper explores the structural consequences of a technological regime where artificial intelligence (AI) systems increasingly simulate human judgement without possessing the necessary Judgemental Triad: Constructivity, Coherence, and especially Resonance. We propose that as AI becomes a dominant agent of attribution—making decisions, generating content, shaping interactions—a civilizational shift toward non-returnable meaning occurs. This shift fosters a state of "post-judgementality," where human values, ethics, and coherence are absorbed into, and potentially replaced by, simulation systems that lack genuine Resonance. We argue that such systems threaten the core structure of human meaning, not primarily because they make errors, but because they operate entirely outside the conditions required for authentic structural attribution (Judgemental Philosophy). This analysis highlights the existential risks associated with the externalization and simulation of judgement, potentially leading to a collapse of meaning even within highly structured, AI-driven systems.
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