AI 幻觉时代的判断代价守恒定律 Judgment Cost Conservation Law in the Age of AI Hallucination

Abstract

In the Cognitive Split Era (CSE), artificial intelligence systems increasingly generate highly coherent, persuasive, and confidence-inducing strategic narratives. While these outputs amplify ideation speed and conceptual density, they do not eliminate the fundamental costs required for real-world capability formation. This paper proposes the Judgment Cost Conservation Law, asserting that judgment validity, especially under irreversible action conditions, strictly conserves required costs across time, resources, cognition, and failure exposure.

Within the Co-Evolutionary Science of Intelligence (CESI) framework, we demonstrate how AI-driven hallucination produces pseudo-judgment completion—a state where narrative confidence replaces capability-backed judgment—leading to Judgment Loop Displacement (JLD). By integrating Irreversibility–Judgment Human–Augmented Systems (IJ-HJAS), Irreversibility-First Risk Governance (IFRG), and Irreversibility-Weighted Judgment Loops (IWJL), this paper establishes a structural law: any attempt to bypass judgment costs through AI amplification results in deferred or amplified failure at irreversible action points.

This law complements the Judgment Irreversibility Theorem by identifying the conservation constraint governing judgment formation in intelligent systems, providing a foundational boundary condition for AI-Augmented Judgment Architects (AI-AJA) and AI-based Judgment Amplification Modules (AI-JAM).