OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AI-CAIM-2026-06-05-0003
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Cognitive Governance Intelligence Architecture (CLIA®)
Operational Layer: Human-AI Cognition Governance Layer
Governed Space: Cognitive Authority Integrity
Category: AI & Interpretation
Subcategory: Cognitive Authority Governance
Type: Human-AI Cognition Integrity Module
Parent Standard: Human-AI Cognition Integrity Standard (HAICS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 5 June 2026

Compatibility: OOF Methodology OS ·
Human-AI Cognition Integrity Standard (HAICS) ·
Shared Cognition Integrity Module (SCIM) ·
Augmented Cognition Module (ACM) ·
Human Cognition Integrity Standard (HCIS) ·
Agent Cognition Integrity Standard (ACIS) ·
Cognitive Interpretation Integrity Standard (CIIS) ·
Cognitive Reasoning Integrity Standard (CRIS) ·
INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Cognitive Authority Integrity Module (CAIM) defines the structural conditions
under which authority over interpretation, reasoning, recommendations, judgments,
decisions, and cognition outcomes remains identifiable, traceable, governable,
and operationally valid throughout Human-AI cognition processes.

CAIM governs cognitive authority.

The module ensures that Human-AI cognition remains capable of determining
who holds authority over cognition outcomes and under what conditions authority
may be delegated, shared, challenged, restricted, or transferred.

A system satisfies CAIM only if:

• cognitive authority remains identifiable
• authority relationships remain visible
• authority delegation remains traceable
• authority conflicts remain governable
• authority boundaries remain assessable
• cognition outcomes remain operationally accountable

A Human-AI cognition environment that cannot determine who holds cognitive authority
does not satisfy CAIM.

Module Operational Role

CAIM defines the cognitive-authority governance layer of HAICS.

Its role is to preserve authority integrity within Human-AI cognition.

Module Operational Space

CAIM governs:

• cognitive authority
• authority delegation
• authority boundaries
• authority visibility
• authority conflicts
• authority accountability
• cognition ownership
• Human-AI decision authority

The module applies wherever cognition outcomes influence decisions, actions,
or operational consequences.

Module Function

The module applies wherever systems must preserve:

• accountable authority
• traceable authority delegation
• governance-valid decision ownership
• cognition accountability
• authority transparency
• operationally reliable Human-AI governance

Its function is to ensure that cognitive authority remains visible and governable
throughout Human-AI interaction.

Minimum Implementation Framework

1. Define the Cognitive Authority Object
The organization must define which cognition activities require authority governance.

This may include:

• recommendations
• strategic decisions
• operational decisions
• risk assessments
• medical decisions
• financial decisions
• governance decisions
• autonomous decision-support activities

2. Define Cognitive Authority Conditions
The system must define the conditions under which authority remains valid.

This includes:

• authority requirements
• delegation requirements
• accountability requirements
• boundary requirements
• escalation requirements
• governance-valid authority conditions

3. Define Authority Degradation Detection Logic
The system must define how authority degradation is identified.

This may include:

• authority ambiguity
• hidden delegation
• authority conflicts
• decision ownership failures
• responsibility displacement
• governance-blind authority transfer

4. Define Operational Response or Governance Logic
The system must define governance logic for authority-integrity failures.

Governance response may include:

• authority review
• delegation review
• governance intervention
• escalation
• authority clarification
• decision restriction
• operational invalidation where required

5. Preserve Traceability & Restrict Invalid Conditions
The system must preserve reconstructable traceability of:

• authority assignments
• delegation activities
• governance reviews
• authority conflicts
• intervention actions
• resulting cognition outcomes

A Human-AI cognition environment must not remain authority-valid if materially significant
authority relationships cannot be reconstructed, reviewed, or governed.

Use Case 1 — Executive Decision Environment

Scenario
Executives use AI systems to generate recommendations regarding investments,
acquisitions, risks, and strategic actions.

Application
CAIM governs authority ownership, recommendation accountability,
and decision legitimacy throughout Human-AI cognition processes.

Result
The organization gains stronger accountability, reduced authority ambiguity,
and improved governance reliability.

Use Case 2 — Clinical Human-AI Decision Support

Scenario
Medical professionals use AI systems to assist diagnosis and treatment planning.

Application
CAIM governs authority boundaries, recommendation ownership,
and decision accountability between clinicians and AI systems.

Result
The environment gains stronger governance clarity, improved patient safety,
and reduced exposure to authority confusion.

Canonical Closing Statement

Cognitive Authority Integrity Module (CAIM) defines the structural conditions
under which authority over interpretation, reasoning, recommendations, judgments,
decisions, and cognition outcomes remains identifiable, traceable, governable,
and operationally valid throughout Human-AI cognition processes.

Human-AI cognition cannot remain governable if authority becomes ambiguous.
Cognitive authority therefore becomes a foundational integrity condition
of governable Human-AI cognition.