Understanding Capitalism v7.8 — Trust Instability Structures and Coherence Fragility in Responsibility-Diffused Systems —
Abstract
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 extends Responsibility Diffusion Regimes by introducing the framework of Trust Instability Structures, examining how distributed responsibility and synthetic agency configurations alter the formation, persistence, and degradation dynamics of trust. While trust traditionally functions as a stabilizing mechanism reducing coordination costs and uncertainty, responsibility-diffused environments may produce structural conditions where trust anchors weaken, volatility increases, and coherence maintenance becomes probabilistically unstable. Trust is not merely psychological. It is structural. 1. Trust as a Stabilization Mechanism Trust enables: Decision simplification Coordination acceleration Risk tolerance Predictability formation Coherence preservation Stable attribution supports trust durability. 2. Defining Trust Instability Structures Trust Instability Structures refer to: Systemic configurations in which trust formation, persistence, and reliability become unstable due to attribution ambiguity, signal volatility, and distributed agency effects. Trust loses anchoring stability. 3. Mechanisms of Trust Destabilization Instability may arise through: Responsibility ambiguity Causal opacity Rapid decision environments Signal saturation effects Perception–operation divergence Predictability erodes. 4. Trust Without Stable Attribution When responsibility diffuses: Trust may shift from actor-based confidence toward fragile systemic expectations. Failures become difficult to interpret. 5. AI Integration Effects AI-integrated systems intensify instability via: Adaptive behavioral shifts Model updates Recommendation variability Interface-mediated actions Trust calibration becomes unstable. 6. Stability Implications Trust instability may generate: Coordination hesitation Overreliance cycles Suspicion amplification Governance stress Coherence degradation Trust oscillation replaces trust persistence. Conclusion Trust Instability Structures reframe trust degradation as an emergent structural property of responsibility-diffused, AI-integrated systems rather than solely an ethical or interpersonal failure. Future stability architectures may require explicit trust-preservation mechanisms, attribution clarity buffers, and coherence-compatible interaction regimes. ※ Series Declaration This work is part of the Understanding Capitalism series. The series explores value formation, cognitive mediation, and structural transformations of economic perception.
Fields of Study & Subjects
Social Capital and Networks
Access Control and Trust
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN