HAICS — Human-AI Cognition Integrity Standard

OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AI-HAICS-2026-06-05-0001
Category: AI & Interpretation
Subcategory: Human-AI Cognition Governance Architecture
Type: Parent Standard
Version: 1.0
Status: Canonical · Open Standard
Origin Date: 5 June 2026

Compatibility: OOF Methodology OS ·
Cognitive Integrity Standard (CIS) ·
Human Cognition Integrity Standard (HCIS) ·
Agent Cognition Integrity Standard (ACIS) ·
Multi-Agent Cognition Integrity Standard (MCIS) ·
Cognitive Interpretation Integrity Standard (CIIS) ·
Cognitive Reasoning Integrity Standard (CRIS) ·
Cognitive Reality Modeling Standard (CRMS) ·
Collective Cognition Integrity Standard (CCIS) ·
Multi-Layer Truth Validation Framework (MTVF) ·
Ethical Virtual Integrity Protocol (EVIP) ·
INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Human-AI Cognition Integrity Standard (HAICS) defines the structural conditions
under which cognition emerging through interaction, cooperation, augmentation, reasoning,
interpretation, decision support, and shared cognitive processes between humans and AI systems
remains traceable, coherent, accountable, reality-connected, governance-valid,
and operationally reliable.

HAICS governs Human-AI cognition.

The standard ensures that cognition produced jointly by humans and AI remains governable
and does not degrade into authority confusion, dependency distortion, cognition transfer failures,
trust misalignment, accountability collapse, or governance-invalid shared cognition states.

Human cognition and AI cognition are distinct.

Human-AI cognition is a third cognition space.

HAICS governs the integrity of that space.

A. Standard Abstract

The future will increasingly depend on Human-AI cognition.

Humans will think with AI.

AI will reason with humans.

Humans will interpret through AI assistance.

AI will augment human cognition.

Organizations will increasingly operate through Human-AI cognition ecosystems.

This creates a new governance challenge.

Who interpreted the information?

Who generated the conclusion?

Who influenced the decision?

Who owns the cognition?

Who remains accountable?

Traditional governance systems were built for humans.

Future governance systems must increasingly govern Human-AI cognition.

HAICS exists to govern that condition.

B. Core Principle

Human-AI cognition becomes valid only when cognitive contribution, authority, accountability,
trust, interpretation, reasoning, and decision influence remain traceable, governable,
reality-connected, and operationally valid throughout Human-AI cognition processes.

C. Scope

This standard may apply to:

AI assistants
AI copilots
decision-support systems
human-AI teams
augmented cognition systems
autonomous collaboration environments
enterprise AI ecosystems
education systems
healthcare systems
future Human-AI cognition environments

HAICS applies wherever cognition emerges jointly from humans and AI.

D. Why This Standard Exists

Existing cognition standards govern:

human cognition
agent cognition
multi-agent cognition
collective cognition

However, a new cognition space is emerging.

Humans and AI increasingly think together.

The resulting cognition belongs fully to neither participant.

This creates unique governance challenges:

authority ambiguity
accountability ambiguity
trust distortion
cognition dependency
over-reliance
under-reliance
influence asymmetry
cognition ownership uncertainty

HAICS exists because Human-AI cognition itself has become a governable space.

E. Human-AI Cognition Integrity Logic

Human-AI cognition integrity exists only when the following remain materially preservable:

1. Shared Cognition Integrity
Shared cognition remains traceable and reconstructable.

2. Cognitive Contribution Integrity
Human and AI contributions remain identifiable.

3. Cognitive Authority Integrity
Authority relationships remain visible and governable.

4. Cognitive Synchronization Integrity
Human and AI cognition remain sufficiently synchronized.

5. Trust & Reliance Integrity
Trust and reliance remain operationally valid.

F. Operational Architecture Space

HAICS defines the operational architecture space for:

Human-AI cognition governance
shared cognition governance
cognitive augmentation governance
cognitive authority governance
cognition synchronization
trust governance
reliance governance
Human-AI decision support
Human-AI cognition accountability

This space exists because cognition increasingly emerges through Human-AI cooperation.

HAICS governs whether that cooperation remains cognitively valid.

G. Difference Between Human Cognition and Human-AI Cognition

Human cognition governs cognition occurring within humans.

Agent cognition governs cognition occurring within AI systems.

Human-AI cognition governs cognition emerging between them.

A human may remain cognitively valid.

An AI may remain cognitively valid.

Yet their interaction may still become governance-invalid.

HAICS governs the interaction layer.

H. Runtime Position

HAICS operates within the Human-AI Cognition Governance Layer of CLIA®.

It governs cognition that emerges through continuous interaction between humans
and AI systems.

HAICS therefore bridges HCIS and ACIS while extending beyond both.

I. Human-AI Drift Rule

Human-AI cognition drift occurs when human understanding, AI outputs, authority relationships,
trust conditions, or cognitive synchronization progressively diverge
while participants continue assuming cognition remains valid.

This may include:

blind trust
distrust without justification
authority confusion
cognition outsourcing
synchronization collapse
accountability ambiguity
hidden influence
cognition dependency

HAICS exists to expose and govern these conditions.

J. Validity Logic

A Human-AI cognition environment is valid under HAICS when:

cognitive contributions remain visible
authority remains governable
trust remains calibrated
synchronization remains assessable
accountability remains traceable
cognition remains reality-connected
shared cognition remains reconstructable

A Human-AI cognition environment becomes invalid when:

contributions become invisible
authority becomes ambiguous
trust becomes distorted
accountability disappears
synchronization collapses
cognition dependency becomes uncontrolled
cognition cannot be reconstructed

K. Relationship to Other OOF Standards

HAICS operates naturally with:

CIS
HCIS
ACIS
MCIS
CIIS
CRIS
CRMS
CCIS
MTVF
EVIP
INTEGROS®

HAICS does not replace these standards.

It governs the Human-AI cognition layer emerging between them.

L. Foundational Principle

If Human-AI cognition cannot remain accountable, synchronized, traceable,
authority-aware, and reality-connected, future cognition systems may preserve capability
while progressively losing governance validity.

Canonical Closing Statement

Human-AI Cognition Integrity Standard (HAICS) defines the structural conditions
under which cognition emerging through interaction, cooperation, augmentation, reasoning,
interpretation, decision support, and shared cognitive processes between humans and AI systems
remains traceable, coherent, accountable, reality-connected, governance-valid,
and operationally reliable.

The future will not be governed by humans alone or AI alone.
It will increasingly be governed by Human-AI cognition.
Human-AI cognition therefore becomes a foundational governable space
within the Cognitive Governance Intelligence Architecture (CLIA®).

Modules

SCIM→ Shared Cognition Integrity Module
ACM→ Augmented Cognition Module
CAIM→ Cognitive Authority Integrity Module
HCSM→ Human-AI Cognitive Synchronization Module
TRCM→ Trust & Reliance Cognition Module

→ About the Human-AI Cognition Integrity Standard (HAICS)
→ CLIA® Architecture Index
→ CLIA® Complete Standards & Modules Index