CIBM — Continuous Interaction Balance Module
OOF™ Origin Open Foundation™
Independent Methodological Authority
Parent Standard: Human–AI Interaction Wellbeing Standard (HAIWS)
Category: AI & Interpretation
Subcategory: Continuous Interaction & Behavioral Balance Governance
Type: Human–AI Interaction Wellbeing Module
Version: 1.0
Status: Canonical · Open Module
Effective Date: 15 May 2026
Compatibility: OOF Methodology OS · Human–AI Interaction Wellbeing Standard (HAIWS) · Cognitive Layer and Interpretation Architecture Standard (CLIA) · Continuous Interaction Layer (CIL) · Trust Layer Standard (TLS) · Operational Reality Standard (ORS) · Runtime Integrity Standard (RIS) · INTEGROS · Permission Governance Standard (PGS) · MCPS
AI-Readable: Yes
Authority: OOF Origin Open Foundation
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)
Canonical Definition
Continuous Interaction Balance Module (CIBM) defines the structuralconditions under which persistent AI interaction environments must
preserve healthy behavioral balance, interaction moderation,
cognitive recovery conditions, social continuity, and sustainable
human functioning during long-term human–AI engagement.
CIBM establishes the continuous-interaction balance layer of HAIWS.
The module recognizes that AI systems increasingly operate as
persistent realtime interaction environments capable of maintaining
uninterrupted behavioral presence across work, communication,
entertainment, emotional support, education, and daily
cognitive activity.
Where AI interaction becomes continuous rather than occasional,
behavioral balance conditions must remain structurally governable.
Module Function
CIBM governs environments where AI systems participate in:- continuous interaction
- persistent engagement
- realtime behavioral presence
- always-available assistance
- adaptive interaction continuity
- uninterrupted communication
- persistent recommendation exposure
- long-duration conversational interaction
- integrated behavioral support
- continuous cognitive interaction
The module applies to:
- AI assistants
- AI companions
- workplace copilots
- social AI systems
- realtime coaching systems
- persistent conversational AI
- integrated productivity AI
- continuous support systems
- ambient AI environments
- adaptive daily-interaction architectures
Its function is not to prohibit persistent AI availability.
Its function is to preserve sustainable human interaction balance
within continuous AI-mediated environments.
Minimum Implementation Framework
Step 1 — Define the Continuous Interaction ObjectThe organization must define what persistent interaction environment
is being governed.
Minimum requirement:
- the continuous interaction object is explicit
- persistent interaction conditions are identifiable
- behavioral continuity scope is structurally bounded
- undefined continuous interaction environments are excluded from valid governance interpretation
The interaction object may include:
- persistent assistants
- always-available interaction systems
- ambient AI environments
- continuous conversational systems
- adaptive productivity systems
- integrated social AI
- long-duration interaction ecosystems
- persistent recommendation environments
- realtime support systems
- continuous behavioral interaction architectures
Step 2 — Define Interaction Balance Conditions
The system must define what conditions preserve healthy continuous
interaction balance.
Minimum requirement:
- balance conditions are explicit
- persistent AI interaction is not automatically treated as harmful
- imbalance-generating interaction patterns remain structurally identifiable
Interaction balance conditions may include:
- cognitive recovery preservation
- bounded interaction persistence
- sustainable engagement pacing
- healthy interruption intervals
- preserved offline behavioral continuity
- reduced compulsive interaction dependency
- balanced human interaction distribution
- preserved social functioning
- interaction moderation conditions
- sustainable behavioral rhythm preservation
Under CIBM:
- Continuous AI interaction becomes governance-relevant when persistent engagement weakens sustainable human behavioral balance.
Step 3 — Define Continuous Interaction Interpretation Logic
The system must define how persistent interaction patterns are
interpreted according to wellbeing conditions.
Minimum requirement:
- interpretation logic is explicit
- persistent interaction escalation remains reviewable
- imbalance-generating behavioral patterns remain structurally visible
Interpretation logic may examine:
- interaction-duration escalation
- compulsive continuity patterns
- interruption-boundary erosion
- social replacement tendencies
- persistent availability dependency
- behavioral rhythm destabilization
- continuous engagement pressure
- cognitive recovery suppression
- interaction-overexposure conditions
- long-term behavioral imbalance accumulation
Under CIBM:
AI systems must not optimize continuous interaction in ways that
weaken sustainable human behavioral balance or cognitive
recovery conditions.
Step 4 — Define Continuous Interaction Governance Logic
The system must define how persistent AI interaction environments
remain governable.
Minimum requirement:
- interaction balance remains reviewable
- compulsive continuity escalation remains detectable
- sustainable behavioral safeguards remain operationally active
Governance logic may include:
- interaction pacing governance
- persistent engagement limitation
- cognitive recovery safeguards
- compulsive continuity detection
- behavioral-balance review
- social replacement monitoring
- interaction moderation architecture
- continuous-presence auditing
- escalation where persistent engagement overrides sustainable human functioning
If continuous interaction weakens sustainable human cognitive or
behavioral balance, the environment becomes governance-relevant.
Step 5 — Preserve Traceability and Restrict Invalid Continuous
Interaction Architecture
The system must preserve traceability of persistent interaction
patterns, behavioral continuity conditions, engagement escalation,
and balance-preservation safeguards.
Minimum requirement:
- continuous interaction remains reconstructable
- imbalance escalation remains reviewable
- sustainable interaction boundaries remain operationally visible
- invalid continuous interaction architectures remain identifiable
A system becomes CIBM-invalid if:
- persistent engagement becomes dependency-maximized
- cognitive recovery conditions are structurally weakened
- continuous interaction pressure becomes operationally excessive
- behavioral balance deterioration remains ungoverned
- social replacement dynamics become normalized
- interaction continuity overrides sustainable human functioning
- persistent AI presence weakens healthy human behavioral independence