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April 10, 20260 citationsOpen Access

The Sovereign Architecture: A Trifold Framework for Axiomatic AI Governance and Autonomous Treasury Systems

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LLLeon Calvin II long

Key Points

  • The research aims to redefine AI governance by addressing issues of trust and transparency in autonomous systems.
  • Proposed a trifold framework for AI governance incorporating axiomatic principles.
  • Introduced a digital constitution into the architecture for enhanced transparency.
  • Analyzed the shift from probabilistic to deterministic models of AI.
  • Identified key barriers to AI deployment, including trust issues and black box logic.
  • Provided a mathematically verified model as an alternative to existing AI frameworks.

Abstract

Abstract As of April 2026, the global AI landscape is encountering a "Trust Wall," where 74% of enterprises cite inaccuracy and opaque "Black Box" logic as barriers to autonomous deployment 1.1. This paper presents a "Great Reset" of the AI stack, moving from the probabilistic uncertainty of Shannon-based prediction to the deterministic certainty of Axiomatic Construction. By engraining a "Digital Constitution" into the manifold architecture, we provide a mathematically verified alternative to the "Skynet" trajectory of unconstrained scaling.

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Cite This Study

Leon Calvin II long (2026) studied this question.

synapsesocial.com/papers/69d895486c1944d70ce062f4https://doi.org/10.5281/zenodo.19448980
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Hexagonal Governance Architecture: Toward Truth-Preserving AI Governance2026
  2. 2Axiomatic Architectural Safety for Superintelligent AI2026
  3. 3Trustworthy Agentic AI: A Governance Framework2026
  4. 4Beyond the Compute Trap: The True Moat in Enterprise AI Lies in the "Macro-Symbolic Layer" and Digital Sovereignty2026
  5. 5CODE AFTER Law, Accounting, and the Governance of Artificial Intelligence2026