I2EA Architecture v0.9
Institution-to-Execution Architecture (I2EA)
Contents
PART I
FOUNDATIONS OF INSTITUTION-TO-EXECUTION ARCHITECTURE
I-0The Missing Architecture
I-1Why AI Governance Needs a New Architecture
- I-1.1The Challenges Facing Modern AI
- I-1.2What Is Responsible AI?
- I-1.3The Limits of Current AI Governance
- I-1.4Structural Governance Void
- I-1.5AI Is Not Traditional Software
- I-1.6Why Explainability Is Not Enough
- I-1.7The Limits of Prediction
- I-1.8Human Policy Document
- I-1.9Governance Externalization
- I-1.10Governance Externalization: Externalized Architecture
- I-1.11Intelligence Is Not Authority
- I-1.12Beyond Updating Governance
- I-1.13Why a Governance OS?
I-2Governance OS
- I-2.1Governance Ecosystem
- I-2.2What Makes Governance OS Different?
- I-2.3Governance Classification
- I-2.4Information Loop
- I-2.5Fact
- I-2.6Evaluation
- I-2.7Translation
- I-2.8Policy
- I-2.9Authority
- I-2.10Decision
- I-2.11Execution
- I-2.12Separation of Decision and Execution
- I-2.13Design Principles
- I-2.14Structural Silence
- I-2.15Execution Records and Auditability
- I-2.16Umecohming: Embedding Governance Information for Traceability
- I-2.17Hamecohming: Fitting Human Governance into AI Systems
- I-2.18From Implicit Governance to Explicit Governance Tags
PART II
ARCHITECTURE AND TECHNICAL COMPONENTS
II-1Information Flow and Governance Tags
- II-1.1Reality: Information Sources
- II-1.2Tagging Is Not Moderation
- II-1.3Fact: Machine-Readable Information
- II-1.4Evaluation: Semantic Analysis
- II-1.5Policy: Rule Definition
- II-1.6Process: Action Record
- II-1.7Authority: Policy Repository
- II-1.8Decision: Key Issuance
- II-1.9Execution: Controlled Execution
- II-1.10Outcome: Governed Content
- II-1.11Reality: Governed Information
- II-1.12Unified Tag Structure
- II-1.13Tag Evolution
- II-1.14Absolute Confidentiality and Domain Boundary
- II-1.15Publishing Boundary
II-2Umecohming
II-3Hamecohming
II-4Identity, Authority and Trust
II-5Decision-State Evidence
II-6Execution Boundary
- II-6.1What Is the Execution Boundary?
- II-6.2Structural Silence and the Silent Domain
- II-6.3Runtime Enforcement
- II-6.4Externalization Boundary
- II-6.5Why the OS Boundary?
- II-6.6Why the OS Does Not Decide
- II-6.7OS and Kernel-Level Enforcement
- II-6.7.1Kernel Enforcement Design Requirements
- II-6.8eBPF / LSM Reference Model
- II-6.8.1Reference Architecture
- II-6.8.2Decision-to-Constraint Translation
- II-6.8.3Enforcement Points
- II-6.8.4Enforcement State / BPF Maps
- II-6.8.5Fail-Safe and Tamper Resistance
- II-6.8.6Execution Evidence
- II-6.8.7Portability / Non-Prescriptive Design
- II-6.9Physical AI Enforcement
- II-6.10From Enforcement to Vigilance
PART III
AI VIGILANCE AND GOVERNANCE OPERATIONS
III-1Foundations of AI Vigilance
III-2Vigilance Operations
- III-2.1AI Vigilance Functions
- III-2.2Real-Time / Operational Vigilance
- III-2.3Continuous / Analytical Vigilance
- III-2.4Vigilance Outputs and Response Paths
- III-2.5Audit / Assurance
- III-2.5.1Vigilance Reporting Criteria
- III-2.5.2Audit / Assurance Standard
- III-2.6Institutional-to-Vigilance Translation
- III-2.7Scope of AI Vigilance
- III-2.8Company-Specific Evaluation Criteria
- III-2.9Universal Vigilance Evaluation Criteria
- III-2.10Contextual Evaluation by Internal Vigilance
III-3Evaluation and Evidence
- III-3.1Evaluation Structure
- III-3.2Tag Structure for Evaluation and Evidence
- III-3.3Fact Tag: Evidence of What Is
- III-3.4Policy Tag: Evidence of What Governs
- III-3.5Evaluation Tag: Evidence of How It Is Evaluated
- III-3.6Process Tag: Evidence of What the System Did
- III-3.7Roles of the Four Tags
- III-3.8From Tagged Content to Decision-State Evidence
- III-3.9Decision-State Evidence in AI Vigilance
III-4Governance Translation and Interoperability
- III-4.1Interpretation Variance
- III-4.2Governance Translation
- III-4.3Translation Hub
- III-4.4Translation Hub Composition and Authority
- III-4.5Contextual Applicability
- III-4.5.1AI Applicability Tags
- III-4.5.2Governance Across Open Distribution
- III-4.6Shared Governance and Interoperability
- III-4.6.1Controlled Knowledge Access
- III-4.6.2Global Interoperability
- III-4.7Governance Feedback and Learning
- III-4.7.1Major Incident Sharing