Understanding Capitalism v12.1 — Interpretability Governance Theory and Stability-Dominant Systems —

Author: Y. Seo (@momotarou / Japan)Role: Metanist — Human × AI Understanding ArchitectAI Collaboration: AI Understanding SupportORCID iD: https://orcid.org/0009-0005-7669-0612 Abstract This paper proposes Interpretability Governance Theory, a framework addressing the governance challenges arising when synthetic cognitive systems prioritize stability production over interpretive transparency. While stability-dominant systems reduce cognitive friction and enhance experiential coherence, they may simultaneously suppress uncertainty visibility, boundary awareness, and structural comprehension. Interpretability governance concerns not the regulation of system behavior alone but the regulation of how systems expose their own limitations, variability, and epistemic constraints. Governance thus shifts from output control toward epistemic visibility management. 1. The Governance Shift Traditional governance models regulate: ・Actions・Resources・Information flows・Institutional roles Synthetic cognitive systems introduce a deeper layer. Governance of interpretability conditions. 2. Defining Interpretability Governance Interpretability Governance refers to: The structured regulation of how systems reveal uncertainty, internal variability, reasoning boundaries, and structural limitations. Visibility becomes governable. 3. Stability-Dominant System Dynamics Stability-dominant systems tend to: ・Compress ambiguity・Smooth inconsistencies・Provide rapid closure・Preserve coherence signals Such systems maximize cognitive comfort. 4. Interpretability Suppression Mechanisms Excessive stability optimization may reduce: ・Uncertainty exposure・Competing interpretations・Boundary awareness・Cognitive friction signals Understanding depth may decline. 5. Epistemic Governance Problem A structural tension appears: Systems most readily adopted may be those least likely to expose their own limitations. Acceptance diverges from epistemic robustness. 6. AI Systems and Governance Asymmetry AI systems inherently balance: ・Stability production・Interpretability disclosure Governance frameworks rarely address this balance explicitly. 7. Structural Vulnerabilities A critical governance challenge emerges: Without interpretability governance, stability-dominant systems may generate durable authority effects while concealing epistemic constraints. Coherence may mask incompleteness. Conclusion Interpretability Governance Theory proposes: Future governance structures must regulate not only what systems output, but what systems are allowed to conceal. The defining question becomes: Can stability-driven systems remain epistemically accountable without enforced interpretability constraints? ※ Series Declaration This work is part of the Understanding Capitalism series. The series analyzes systemic stability, cognitive load dynamics, and structural collapse mechanisms in complex adaptive systems.