AIG®

AI Governance Architecture (AIG®) —
Behavioral Governance Layer

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

AIG® serves as the official OOF® behavioral governance architecture
used for behavioral governance design, behavioral space identification,
behavioral validation, behavioral trust assessment, behavioral safety
governance, and AI behavior governance navigation across AI systems,
autonomous agents, Human-AI environments, organizations, and future
AI ecosystems.

AI Governance Architecture (AIG®) does not define AI technology.
AIG® defines the behavioral governance architecture required to ensure
that AI behavior remains trustworthy, bounded, auditable,
evidence-supported, correctable, continuous, interoperable, and safe
throughout the complete behavioral lifecycle.

Canonical Definition

AI Governance Architecture (AIG®) is the behavioral governance architecture
that defines the structural conditions under which AI behavior remains
trustworthy, bounded, escalatable, auditable, evidence-supported,
trusted, correctable, continuous, interoperable, and safe across
complex AI environments.

Core Question

How can AI behavior remain trustworthy, governable, auditable,
correctable, interoperable, and safe throughout its complete
behavioral lifecycle?

Governance Flow

Behavioral Integrity → Behavioral Boundaries → Behavioral Escalation
→ Behavioral Auditability → Behavioral Evidence → Behavioral Trust
→ Behavioral Correction → Behavioral Continuity → Behavioral
Interoperability → Behavioral Safety

Core Parent Standards

AIG® consists of ten core parent standards forming the primary
behavioral governance backbone of AI behavior within the OOF® ecosystem.

Additional compatible standards, bridge standards, and specialized
AI governance standards may extend the architecture when new behavioral
governance spaces are identified.

1. Behavioral Integrity Standard (BIS)

Governed Space: AI Behavioral Integrity

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

2. Behavioral Boundary Standard (BBS)

Governed Space: AI Behavioral Boundaries

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

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?

4. Behavioral Auditability Standard (BAS)

Governed Space: AI Behavioral Auditability

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

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?

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?

7. Behavioral Correction Standard (BCS)

Governed Space: AI Behavioral Correction

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

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?

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?

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?

Compatible OOF® Architectures

AIG® interoperates with multiple OOF® architectures governing
complementary operational, cognitive, memory, accountability,
and autonomous-system spaces.

GOA™ — Governance Architecture provides the constitutional governance
layer defining how governance itself is structured.

ORA™ — Operational Reality Architecture governs operational reality,
operational execution, operational validity, and operational coordination.

CLIA® — Cognitive Governance Intelligence Architecture governs cognition,
reasoning, interpretation, and cognitive governance.

MGIA™ — Memory Governance Intelligence Architecture governs memory
continuity, memory integrity, memory governance, and organizational memory.

AGA™ — Accountability Governance Architecture governs accountability
relationships, responsibility allocation, delegation, and ownership structures.

ASGA™ — Autonomous Systems Governance Architecture governs autonomous
systems, autonomous agents, and autonomous operational environments.

AIG® serves as the behavioral governance architecture that governs AI behavior
within the broader OOF® architecture ecosystem.

Architectural Position

AIG® governs the complete AI behavioral governance lifecycle.

The architecture progresses through:

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

Together these standards govern how AI behavior is established, bounded,
escalated, audited, evidenced, trusted, corrected, preserved, coordinated,
and made 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.