OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AI-JOIM-2026-06-03-0001
Architecture Ecosystem: Cognitive Governance Intelligence Architecture (CLIA®)
Architecture Family: Human Cognition Governance
Operational Layer: Human Cognition Integrity Layer
Governed Space: Judgment Ownership Integrity
Category: AI & Interpretation
Subcategory: Human Judgment Governance
Type: Human Cognition Integrity Module
Parent Standard: Human Cognition Integrity Standard (HCIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 3 June 2026

Compatibility: OOF Methodology OS ·
Human Cognition Integrity Standard (HCIS) ·
Cognitive Integrity Standard (CIS) ·
Human-AI Cognition Integrity Standard (HAICS) ·
Cognitive Reasoning Integrity Standard (CRIS) ·
Ethical Virtual Integrity Protocol (EVIP) ·
INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Judgment Ownership Integrity Module (JOIM) defines the structural conditions
under which human judgment remains materially owned, exercisable, challengeable,
accountable, and operationally valid during interaction with AI systems,
decision-support systems, autonomous agents, and external cognitive environments.

JOIM governs judgment ownership.

The module ensures that humans remain the legitimate owners of their judgments
even when recommendations, predictions, analyses, or conclusions originate
from external cognitive systems.

A system satisfies JOIM only if:

• judgment ownership remains human
• judgment authority remains exercisable
• external conclusions remain challengeable
• decision responsibility remains identifiable
• judgment displacement remains detectable
• human evaluation remains preservable

A cognition environment that transfers judgment ownership from humans
to external systems does not satisfy JOIM.

Module Operational Role

JOIM defines the judgment-ownership governance layer of HCIS.

Its role is to preserve human cognitive legitimacy by ensuring that final judgment
remains materially owned by the human participant.

Module Operational Space

JOIM governs:

• judgment ownership
• judgment authority
• decision accountability
• cognitive responsibility
• conclusion acceptance governance
• judgment displacement detection
• human evaluation rights
• cognitive legitimacy

The module applies wherever humans rely on external systems for information,
recommendations, interpretation, or analysis.

Module Function

The module applies wherever humans must preserve:

• ownership of conclusions
• accountability for decisions
• authority over judgment
• independent evaluation
• challenge capability
• governance-valid cognition

Its function is to ensure that assistance does not become judgment replacement.

Minimum Implementation Framework

1. Define the Judgment Object
The organization must define which decisions and conclusions require
judgment ownership governance.

This may include:

• strategic decisions
• operational decisions
• risk assessments
• AI-assisted recommendations
• policy decisions
• educational evaluations
• analytical conclusions
• human-AI collaboration outcomes

2. Define Judgment Ownership Conditions
The system must define the conditions under which judgment remains human-owned.

This includes:

• accountability requirements
• review requirements
• challenge rights
• decision authority requirements
• evaluation conditions
• ownership preservation requirements

3. Define Judgment Displacement Detection Logic
The system must define how judgment displacement is identified.

This may include:

• automatic acceptance patterns
• recommendation dependency indicators
• review omission detection
• authority transfer indicators
• evaluation bypass detection
• accountability ambiguity detection

4. Define Operational Response or Governance Logic
The system must define governance logic for judgment-displacement conditions.

Governance response may include:

• mandatory review requirements
• judgment confirmation steps
• challenge procedures
• accountability verification
• escalation
• human validation requirements
• operational invalidation where required

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

• judgment decisions
• evaluation actions
• review activities
• accountability assignments
• challenge events
• governance interventions

A cognition environment must not remain judgment-valid if humans materially lose ownership
over decisions that remain attributed to them.

Use Case 1 — AI-Assisted Executive Governance

Scenario
Executives regularly receive AI-generated strategic recommendations
regarding investments, operations, and risk management.

Application
JOIM governs whether leaders actively exercise judgment authority
rather than simply accepting machine-generated recommendations.

Result
The organization gains stronger accountability, clearer decision ownership,
and reduced judgment outsourcing.

Use Case 2 — Clinical Decision-Support Environment

Scenario
Medical professionals use advanced AI systems to support diagnosis,
treatment planning, and patient assessment.

Application
JOIM governs whether healthcare professionals retain ownership of clinical judgment
despite extensive AI assistance.

Result
The environment gains stronger accountability, preserved professional responsibility,
and reduced risk of judgment displacement.

Canonical Closing Statement

Judgment Ownership Integrity Module (JOIM) defines the structural conditions
under which human judgment remains materially owned, exercisable, challengeable,
accountable, and operationally valid during interaction with AI systems,
decision-support systems, autonomous agents, and external cognitive environments.

Humans do not preserve cognition merely by remaining present.
Human cognition remains legitimate only when judgment itself
remains owned by the human mind.