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Authoritative Governance + Evidence System

AI-DATABASE / AI-DATASET

The constitutional foundation that governs identity, capability, evidence, certification, containment, provenance, datasets, and future training eligibility across CMI Systems.

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Constitutional statusApproved architecture
Repository modeDatabase package readiness
Learning stateOff

Constitutional Placement

The authoritative system beneath CMI Systems owner and constitutional authority.

AI-DATABASE / AI-DATASET is superior to every governed intelligence lifecycle component below it. Market AI, AICC, models, brains, helper cores, agents, evaluators, and future training systems cannot own, absorb, reinterpret, or bypass this governance.

What it owns

Authoritative state and evidence

  • Governed identity and capability-envelope definitions
  • Certification records and lifecycle state
  • Immutable safety and forensic evidence
  • Containment, suspension, quarantine, and revocation state
  • Provenance, lineage, retention, and replay evidence
  • Dataset identity, validation, and future training-eligibility gates
What it prevents

Self-governance and inherited trust

  • No subject certifies, promotes, releases, or governs itself
  • No missing permission is treated as approval
  • No model name substitutes for an exact configuration identity
  • No successful evaluation automatically becomes deployment readiness
  • No product platform may bypass the governed service boundary
  • No learning system activates without separate explicit authority

Core Governance Domains

The system makes intelligence state resolvable, bounded, and auditable.

01

Governed Identity

Resolves the exact subject, artifact, configuration, execution, and responsible authority before action.

02

Capability Envelopes

Defines what a governed configuration may do, to which resources, under which conditions, and for how long.

03

Immutable Evidence

Preserves attributable, append-only safety, policy, execution, provenance, containment, and certification records.

04

Certification Lifecycle

Separates evaluation success, certification state, deployment readiness, release authority, and continuous recertification.

05

Containment Authority

Records suspension, quarantine, command acknowledgment, verified effects, and release prerequisites.

06

Governed Datasets

Manages data contracts, validated snapshots, quality state, lineage, exports, dataset versions, and certification evidence.

Eight-Pillar Constitutional Set

The adopted architectural baseline.

Each pillar closes a distinct governance surface. Together they establish the binding safety architecture without claiming that runtime implementation is already active.

Effective July 24, 2026 Version 1.0 Approved architectural governance
  1. 01Agent Safety, Containment & Certification Constitution
  2. 02Incident-Derived Threat Model & Control Matrix
  3. 03Governed Identity & Capability Envelope Contract
  4. 04Safety Event & Immutable Evidence Contract
  5. 05Containment Command & Acknowledgment Contract
  6. 06Certification State Transition Contract
  7. 07AICC Safety-Enforcement Interface Contract
  8. 08Adversarial Verification & Certification Test Plan

System Relationships

Governance remains independent from product and operational control.

Market AI

Governed consumer

Market AI consumes approved APIs, services, helper pathways, validated market records, and governed snapshots. It cannot own or bypass certification and evidence authority.

Explore Market AI
AICC

Delegated enforcement interface

AICC resolves, displays, requests, invokes, and enforces authoritative decisions within delegated authority. It cannot certify or release itself.

Explore AICC

Current State

Architecture approved. Runtime authority remains locked.

Constitutional architectureApproved
Database packageReadiness and qualification work
Training / Shadow TrainerOff
Brain / Controlled / Autonomous LearningOff
Production impact from these documentsNone
New migration authority from these documentsNot granted

AI-DATABASE / AI-DATASET

Discuss governance, data architecture, or research collaboration.

Use the dedicated contact route and select AI-DATABASE / AI-DATASET as your area of interest.

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