SCIM — Shared Cognition Integrity Module

OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AI-SCIM-2026-06-05-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Cognitive Governance Intelligence Architecture (CLIA®)
Operational Layer: Human-AI Cognition Governance Layer
Governed Space: Shared Cognition Integrity
Category: AI & Interpretation
Subcategory: Shared Cognition 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) ·
Human Cognition Integrity Standard (HCIS) ·
Agent Cognition Integrity Standard (ACIS) ·
Cognitive Interpretation Integrity Standard (CIIS) ·
Cognitive Reasoning Integrity Standard (CRIS) ·
Cognitive Reality Modeling Standard (CRMS) ·
Multi-Layer Truth Validation Framework (MTVF) ·
INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Shared Cognition Integrity Module (SCIM) defines the structural conditions
under which cognition jointly produced by humans and AI systems remains traceable,
reconstructable, accountable, reality-connected, governance-valid, and operationally reliable
throughout shared cognition processes.

SCIM governs shared cognition.

The module ensures that cognition emerging through Human-AI interaction remains
understandable and governable rather than becoming an opaque mixture
of human and AI contributions.

A system satisfies SCIM only if:

shared cognition remains traceable
cognitive contributions remain identifiable
cognition pathways remain reconstructable
accountability remains preservable
cognition outcomes remain assessable
shared cognition remains operationally valid

A Human-AI cognition environment that cannot explain how a conclusion emerged
does not satisfy SCIM.

Module Operational Role

SCIM defines the shared-cognition governance layer of HAICS.

Its role is to preserve integrity within jointly produced cognition.

Module Operational Space

SCIM governs:

shared cognition
Human-AI cognition flows
cognition co-production
cognition traceability
collaborative reasoning
collaborative interpretation
shared understanding
cognition accountability

The module applies wherever cognition emerges through active Human-AI collaboration.

Module Function

The module applies wherever systems must preserve:

accountable shared cognition
reconstructable cognition pathways
contribution visibility
governance-valid collaboration
reality-connected cognition
operationally reliable Human-AI understanding

Its function is to ensure that cognition jointly produced by humans and AI
remains governable.

Minimum Implementation Framework

1. Define the Shared Cognition Object
The organization must define which Human-AI cognition processes require governance.

This may include:

decision support
collaborative reasoning
collaborative interpretation
planning activities
analytical activities
research activities
operational recommendations
Human-AI problem solving

2. Define Shared Cognition Conditions
The system must define the conditions under which shared cognition remains valid.

This includes:

traceability requirements
contribution requirements
accountability requirements
reconstruction requirements
transparency requirements
governance-valid cognition conditions

3. Define Shared Cognition Degradation Detection Logic
The system must define how shared cognition degradation is identified.

This may include:

contribution ambiguity
cognition opacity
accountability gaps
cognition-path loss
Human-AI misunderstanding
reconstruction failures

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

Governance response may include:

cognition review
contribution analysis
reconstruction activities
governance intervention
escalation
output restriction
operational invalidation where required

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

human contributions
AI contributions
cognition interactions
governance reviews
intervention activities
resulting cognition outcomes

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

Use Case 1 — Executive AI Copilot Environment

Scenario
An executive collaborates with an AI copilot to evaluate risks, analyze opportunities,
and generate strategic recommendations.

Application
SCIM governs shared cognition pathways, contribution visibility, and accountability
throughout collaborative decision-support activities.

Result
The organization gains stronger transparency, improved governance visibility,
and reduced exposure to cognition ambiguity.

Use Case 2 — Human-AI Research Team

Scenario
Researchers and AI systems jointly analyze information, generate hypotheses,
evaluate evidence, and develop conclusions.

Application
SCIM governs cognition traceability, shared reasoning integrity,
and contribution accountability across the research process.

Result
The environment gains stronger collaborative cognition integrity, improved reproducibility,
and reduced exposure to unclear authorship of conclusions.

Canonical Closing Statement

Shared Cognition Integrity Module (SCIM) defines the structural conditions
under which cognition jointly produced by humans and AI systems remains traceable,
reconstructable, accountable, reality-connected, governance-valid, and operationally reliable
throughout shared cognition processes.

Human-AI cognition cannot remain governable if shared cognition becomes opaque.
Shared cognition therefore becomes a foundational integrity condition
of governable Human-AI cognition.