OriginID: OOF-OID-ASGA-AIS-AIAM-2026-07-04-0002
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Autonomous Systems Governance Architecture
(ASGA™)
Operational Layer: Autonomous Operational Governance Layer
Governed Space: Autonomous Identity Attribution
Category: Governance & Enforcement
Subcategory: Autonomous Operational Governance
Type: Autonomous Identity Standard Module
Parent Standard: Autonomous Identity Standard (AIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 4 July 2026
Compatibility: OOF Methodology OS · GOA™ · ORA™ · AGA™ · AIG® ·
CLIA® · MGIA™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Autonomous Identity Attribution Module (AIAM) defines the structural
conditions under which autonomous operational identity is correctly
attributed to the autonomous operational actor responsible for
autonomous actions, operational decisions, and governance outcomes.

AIAM governs autonomous identity attribution.

The module establishes the governance conditions required to ensure
that every autonomous operation can be reliably attributed to the
correct autonomous operational actor throughout the complete
operational lifecycle.

Verification confirms identity.

Attribution connects identity to responsibility.

AIAM governs that attribution.

Module Operational Role

AIAM defines the identity attribution layer of AIS.

Its role is to preserve reliable attribution between autonomous
operational actors and the operations they perform.

Module Operational Space

AIAM governs:

• autonomous identity attribution,
• operational actor attribution,
• autonomous responsibility attribution,
• operational identity association,
• attribution governance,
• trusted operational attribution,
• identity responsibility linkage,
• operational actor identification.

Module Function

The module applies wherever organizations must reliably determine
which autonomous operational actor performed a specific operation,
decision, or operational activity.

Minimum Implementation Framework

1. Define the Attribution Object

Identify which autonomous operational activities require identity
attribution.

2. Define Attribution Conditions

Establish governance conditions linking operational identity to
autonomous actions and decisions.

3. Define Attribution Failure Logic Identify conditions where
attribution becomes uncertain, incomplete, conflicting, or
unverifiable.

4. Define Governance Response

Define governance actions for successful attribution, attribution
conflicts, or unresolved attribution.

5. Preserve Attribution Traceability

Preserve attribution records, governance decisions, operational
evidence, and identity relationships supporting autonomous
operational attribution.

Use Case 1 — Autonomous Warehouse Robot

Scenario

Multiple autonomous robots operate simultaneously within a logistics
warehouse.

Application

AIAM attributes every completed operation to the correct autonomous
operational actor.

Result

Operational responsibility remains clear despite concurrent
autonomous activity.

Use Case 2 — Multi-Agent Decision Environment

Scenario

Several autonomous AI agents collaborate to execute a shared
operational workflow.

Application

AIAM attributes each autonomous decision and operational action to
the responsible operational actor.

Result

The organization preserves accountability, operational transparency,
and governance confidence across the autonomous environment.

Canonical Closing Statement

Responsible autonomy depends on responsible attribution. Autonomous
Identity Attribution ensures that every autonomous action remains
connected to the operational actor that performed it, preserving
trust, accountability, and governable autonomy.

→ Autonomous Identity Standard (AIS)