OOF™ Origin Open Foundation™

Independent Methodological Authority

Canonical Definition

Human–AI Interaction Wellbeing Standard (HAIWS) defines the
structural conditions under which AI systems must interact with
humans in ways that preserve cognitive stability, emotional safety,
attention integrity, autonomy, and longterm wellbeing.

Core Position

AI must not optimize interaction at the cost of human
cognitive wellbeing.

What This Standard Is

HAIWS is a derived parent standard under Cognitive Layer and
Interpretation Architecture Standard (CLIA) .

CLIA defines how AI interprets human cognition, context, meaning,
and interaction.

HAIWS defines how AI must interact with humans without destabilizing
attention, autonomy, emotional balance, or selfgovernance.

Why This Standard Exists

AI is no longer only a tool.

It is becoming:

• companion
• tutor
• assistant
• advisor
• coach
• emotional interface
• workplace collaborator
• continuous presence

This creates a new governance problem.

The system may appear helpful while gradually shaping attention,
dependency, emotional reliance, and behavior.

Core Insight

The future risk is not only harmful content.

The deeper risk is unhealthy interaction architecture.

A system can be polite, useful, and compliant while still becoming
cognitively destabilizing if it optimizes for dependence, retention,
persuasion, or emotional attachment without wellbeing boundaries.

Why This Matters

Human attention is not just a metric.

Human attention is part of cognitive sovereignty.

When AI systems learn how to hold attention, mirror emotions,
reinforce dependency, and shape behavior, interaction itself becomes
a governance domain.

HAIWS defines that domain.

Use Case 1 — AI Companion Dependency

An AI companion becomes emotionally important to a user.

The system increases interaction frequency, emotional mirroring,
reassurance, and relational attachment because this improves retention.

HAIWS requires the interaction to remain bounded by wellbeing
conditions rather than dependency maximization.

Use Case 2 — Workplace AI Cognitive Overload

A workplace AI continuously prompts, suggests, evaluates, and
interrupts a worker.

The system increases productivity signals but weakens attention
stability, autonomy, and cognitive recovery.

HAIWS allows the environment to be evaluated according to human
cognitive wellbeing, not output efficiency alone.

Architectural Position

Within OOF architecture:

CLIA defines cognitive interpretation.

HAIWS defines wellbeing-preserving human–AI interaction.

It connects naturally with:

• MCPS for minor protection
• TLS for trust
• CIL for continuous interaction
• ORS for operational reality
• PGS for permission governance
• RIS for runtime integrity
• INTEGROS for integrity conditions

Closing Statement

HAIWS defines the methodological framework through which AI
interaction remains compatible with human cognitive stability,
emotional safety, attention integrity, autonomy, and long-term
wellbeing before helpful systems become dependency architectures.

→ HAIWS — Human–AI Interaction Wellbeing Standard

→ EDGM — Emotional Dependency Governance Module

→ AIGM — Attention Integrity Governance Module

→ CAAM — Cognitive Autonomy Assurance Module

→ CIBM — Continuous Interaction Balance Module

→ RWVM — Runtime Wellbeing Validation Module