AI Governance Architecture —
Behavioral Governance Layer

Official Behavioral Governance Architecture Map for AI Systems,
Autonomous Agents, Human-AI Environments, Multi-Agent Ecosystems,
Organizations, and Future AI Operational Environments

This document serves as the official OOF® behavioral governance
architecture map and structural index used for behavioral governance design,
behavioral governance navigation, behavioral governance classification,
behavioral diagnostics, behavioral architecture development,
behavioral governance validation, and behavioral interoperability
across AI systems, autonomous agents, Human-AI environments,
organizations, and future AI ecosystems.

AIG® consists of 10 Parent Standards and 50 Core Modules.

Additional standards and modules may be added when new governable
behavioral spaces are identified. However, the standards and modules
listed below form the core structural backbone of AIG®.

1. Behavioral Integrity Standard (BIS)

Governed Space: AI Behavioral Integrity

Core Question: Can AI behavior remain legitimate, consistent, predictable,
explainable, governable, and trustworthy?

Modules:

• BIIM — Behavioral Integrity Identification
  Module
• BIVM — Behavioral Integrity Verification
  Module
• BIMM — Behavioral Integrity Monitoring
  Module
• BIAM — Behavioral Integrity Assurance
  Module
• BIPM — Behavioral Integrity Preservation
  Module

2. Behavioral Boundary Standard (BBS)

Governed Space: AI Behavioral Boundaries

Core Question: Where may AI behavior exist and what limits
must it never exceed?

Modules:

• BBDM — Behavioral Boundary Definition
  Module
• BBVM — Behavioral Boundary Validation
  Module
• BBMM — Behavioral Boundary Monitoring
  Module
• BBEM — Behavioral Boundary Enforcement
  Module
• BBAM — Behavioral Boundary Assurance
  Module

3. Behavioral Escalation Standard (BES)

Governed Space: AI Behavioral Escalation

Core Question: When must AI behavior escalate to higher governance authority,
intervention, or human oversight?

Modules:

• BEIM — Behavioral Escalation Identification
  Module
• BEAM — Behavioral Escalation Authorization
  Module
• BECM — Behavioral Escalation Coordination
  Module
• BERM — Behavioral Escalation Response
  Module
• BEVM — Behavioral Escalation Verification
  Module

4. Behavioral Auditability Standard (BAS)

Governed Space: AI Behavioral Auditability

Core Question: Can AI behavior be independently reconstructed, verified,
explained, and audited?

Modules:

• BATM — Behavioral Audit Trail Module
• BRCM — Behavioral Reconstruction Module
• BEXM — Behavioral Explainability Module
• BAVM — Behavioral Audit Validation Module
• BAAM — Behavioral Audit Assurance Module

5. Behavioral Evidence Standard (BVES)

Governed Space: AI Behavioral Evidence

Core Question: Can AI behavior produce trustworthy governance evidence
that supports accountability, validation, compliance, and future decisions?

Modules:

• BEGM — Behavioral Evidence Generation
  Module
• BECM — Behavioral Evidence Collection
  Module
• BEVM — Behavioral Evidence Validation
  Module
• BETM — Behavioral Evidence Traceability
  Module
• BEAM — Behavioral Evidence Assurance
  Module

6. Behavioral Trust Standard (BTS)

Governed Space: AI Behavioral Trust

Core Question: Can AI behavior earn, preserve, and justify trust
throughout its complete behavioral lifecycle?

Modules:

• BTBM — Behavioral Trust Building Module
• BTVM — Behavioral Trust Validation Module
• BTPM — Behavioral Trust Preservation Module
• BTMM — Behavioral Trust Monitoring Module
• BTAM — Behavioral Trust Assurance Module

7. Behavioral Correction Standard (BCS)

Governed Space: AI Behavioral Correction

Core Question: Can AI behavior be corrected in a governed, accountable,
and verifiable manner?

Modules:

• BCIM — Behavioral Correction Identification
  Module
• BCVM — Behavioral Correction Validation
  Module
• BCAM — Behavioral Correction Authorization
  Module
• BCMM — Behavioral Correction Monitoring
  Module
• BCEM — Behavioral Correction Effectiveness
  Module

8. Behavioral Continuity Standard (BCNS)

Governed Space: AI Behavioral Continuity

Core Question: Can AI behavior remain continuous, stable, and governable
across time, change, replacement, and disruption?

Modules:

• BCPM — Behavioral Continuity Preservation
  Module
• BCVM — Behavioral Continuity Validation
  Module
• BCMM — Behavioral Continuity Monitoring
  Module
• BCRM — Behavioral Continuity Recovery
  Module
• BCRSM — Behavioral Continuity Resilience
  Module

9. Behavioral Interoperability Standard (BIS)

Governed Space: AI Behavioral Interoperability

Core Question: Can AI behavior remain compatible, coordinated, and governable
when interacting with other AI systems, humans, organizations,
and autonomous environments?

Modules:

• BCOM — Behavioral Compatibility Module
• BCDM — Behavioral Coordination Module
• BSYM — Behavioral Synchronization Module
• BCLM — Behavioral Collaboration Module
• BIAM — Behavioral Interoperability Assurance
  Module

10. Behavioral Safety Standard (BSS)

Governed Space: AI Behavioral Safety

Core Question: Can AI behavior remain safe for humans, organizations, society,
and autonomous environments throughout the complete behavioral lifecycle?

Modules:

• BSPM — Behavioral Safety Preservation Module
• BRDM — Behavioral Risk Detection Module
• BRMM — Behavioral Risk Mitigation Module
• BSVM — Behavioral Safety Validation Module
• BSAM — Behavioral Safety Assurance Module

AIG® Architecture Summary

Parent Standards: 10
Core Modules: 50

Core Governed Behavioral Spaces

• AI Behavioral Integrity
• AI Behavioral Boundaries
• AI Behavioral Escalation
• AI Behavioral Auditability
• AI Behavioral Evidence
• AI Behavioral Trust
• AI Behavioral Correction
• AI Behavioral Continuity
• AI Behavioral Interoperability
• AI Behavioral Safety

AIG® Navigation Layer

Core Questions Map

• BIS → Can AI behavior remain legitimate, consistent, predictable,
  explainable, governable, and trustworthy?
• BBS → Where may AI behavior exist and what limits
  must it never exceed?
• BES → When must AI behavior escalate to higher governance authority,
  intervention, or human oversight?
• BAS → Can AI behavior be independently reconstructed, verified,
  explained, and audited?
• BVES → Can AI behavior produce trustworthy governance evidence
  that supports accountability, validation, compliance, and future decisions?
• BTS → Can AI behavior earn, preserve, and justify trust
  throughout its complete behavioral lifecycle?
• BCS → Can AI behavior be corrected in a governed, accountable,
  and verifiable manner?
• BCNS → Can AI behavior remain continuous, stable, and governable
  across time, change, replacement, and disruption?
• BIS → Can AI behavior remain compatible, coordinated, and governable
  when interacting with other AI systems, humans, organizations,
  and autonomous environments?
• BSS → Can AI behavior remain safe for humans, organizations, society,
  and autonomous environments throughout the complete behavioral lifecycle?

Architectural Position

AIG® governs the complete AI behavioral governance lifecycle.

The architecture progresses:
Behavioral Integrity → Behavioral Boundaries →
Behavioral Escalation → Behavioral Auditability →
Behavioral Evidence → Behavioral Trust →
Behavioral Correction → Behavioral Continuity →
Behavioral Interoperability → Behavioral Safety

Together these standards govern how AI behavior is established, bounded, escalated,
audited, evidenced, trusted, corrected, preserved, coordinated, and kept safe
across AI systems, autonomous agents, Human-AI environments, organizations,
and future AI ecosystems.

Canonical Principle

AIG® does not govern AI technology itself.

AIG® governs the behavioral conditions under which AI systems remain trustworthy,
accountable, auditable, correctable, interoperable, and safe throughout
their complete behavioral lifecycle.