The Dangers of AI-Narrative Judgment Substitution - A Judgment-Centric Risk Analysis under CESI, IFRG, and LF²ES

Abstract Using a Judgment-Centric Epistemic Niche (J-CEN) perspective situated within the Co-Evolutionary Science of Intelligence (CESI), this study analyzes how AI-generated strategic narratives induce judgment drift, create explainability illusions, and accelerate Cognitive Species Divergence (CSD) between human judgment systems and machine-generated pseudo-judgment. Within CESI, intelligence is treated as a co-evolving system across biological, artificial, and organizational substrates. AI-narrative judgment substitution is therefore analyzed not merely as a governance failure, but as a degenerative evolutionary mechanism acting at the cognitive-architectural level. By integrating Cognitive Architectonics (CAX) with Irreversibility-First Risk Governance (IFRG) and Lethality-First Fast-Filter Elimination Search (LF²ES), the paper situates AI-narrative outputs as high-risk cognitive artifacts within the Enterprise Irreversible Risk Operating System (E-IROS).