Three Pathological Patterns of Organizational AI Use in the CSE Era — Human Judgment Offloading and Cognitive Governance Failure from a CSD Perspective

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Authors: Lucas Xiaochun Xu
Cited by: 0

Abstract

Abstract As generative AI systems are increasingly embedded into organizational decision-making, analysis, and knowledge workflows, many organizations have begun to systematically externalize judgment to AI-driven tools and processes. While this shift temporarily reduces cognitive load and improves surface-level efficiency, it produces long-term degradation in judgment capacity, accountability integrity, and cognitive governance. Situated within the Cognitive Split Era (CSE) and grounded in the Co-Evolutionary Science of Intelligence (CESI), this paper reframes organizational AI misuse not as a tooling problem but as a Cognitive Species Divergence (CSD) mechanism. Under CSD, human agents retain formal responsibility while progressively losing their role in judgment formation, resulting in a structural decoupling of judgment, accountability, and control. By integrating the Judgment-Centric Epistemic Niche (J-CEN) with Cognitive Architectonics (CAX), Irreversibility-First Risk Governance (IFRG), and Lethality-First Fast-Filter Elimination Search (LF²ES), this paper identifies three recurrent pathological patterns of AI use in organizations. These patterns, if left unchecked, act as irreversible cognitive risk vectors within the Enterprise Irreversible Risk Operating System (E-IROS). The paper concludes that organizational competitiveness in the CSE does not depend on AI adoption intensity, but on whether high-quality human judgment is preserved, protected, and institutionally enforced.

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence Applications Impact of AI and Big Data on Business and Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 January 2026
Document type
Preprint