UPMM — User Preference Memory Module

OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-MEM-UPMM-2026-06-08-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Memory Governance Intelligence Architecture (MGIA™)
Operational Layer: User Memory Governance Layer
Governed Space: User Preference Memory Integrity
Category: AI & Interpretation
Subcategory: Preference Memory Governance
Type: User Memory Integrity Module
Parent Standard: User Memory Integrity Standard (UMIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 8 June 2026
Compatibility: OOF Methodology OS · User Memory Integrity Standard (UMIS) ·
Memory Integrity Standard (MIS) · Human-AI Cognition Integrity Standard (HAICS) ·
Human Cognition Integrity Standard (HCIS) · INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition System

Canonical Definition

User Preference Memory Module (UPMM) defines the structural conditions under which
memory related to user preferences remains accurate, current, contextualized, traceable,
accountable, and operationally valid throughout personalization, interaction, learning,
and long-term Human-AI relationship processes.

UPMM governs user preference memory.

The module ensures that systems maintain a reliable representation of user preferences
rather than relying on outdated, distorted, inferred, or contextually invalid assumptions.

A system satisfies UPMM only if:

preferences remain accurately represented
preference changes remain traceable
preference context remains identifiable
outdated preferences remain detectable
preference utilization remains accountable
preference memory remains operationally valid

A system that continuously relies on obsolete or incorrectly inferred preferences
does not satisfy UPMM.

Module Operational Role

UPMM defines the preference-memory governance layer of UMIS.

Its role is to preserve reliable memory of user preferences across time.

Module Operational Space

preference memory
preference continuity
preference updates
preference traceability
preference context
personalization memory
preference accountability
preference governance

The module applies wherever systems utilize memory about user preferences.

Module Function

The module applies wherever systems must preserve:

accurate personalization
preference continuity
preference relevance
accountable preference usage
trustworthy user representation
long-term interaction quality

Its function is to ensure that user preferences remain accurately represented
throughout the memory lifecycle.

Minimum Implementation Framework

1. Define the Preference Memory Object

The organization must define which preference memories require governance.
This may include:

communication preferences
language preferences
personalization preferences
interaction preferences
operational preferences
recommendation preferences
workflow preferences
long-term user preferences

2. Define Preference Memory Conditions

The system must define the conditions under which preference memory remains valid.
This includes:

accuracy requirements
update requirements
traceability requirements
contextualization requirements
accountability requirements
governance-valid preference conditions

3. Define Preference Degradation Detection Logic

The system must define how preference degradation is identified.
This may include:

outdated preferences
contradictory preferences
inferred preference errors
context loss
invalid personalization
preference drift

4. Define Operational Response or Governance Logic

The system must define governance logic for preference-integrity failures.
Governance response may include:

preference review
preference validation
memory correction
governance intervention
escalation
preference updates
operational invalidation where required

5. Preserve Traceability & Restrict Invalid Conditions

The system must preserve reconstructable traceability of:

preference changes
validation activities
governance reviews
intervention actions
personalization activities
resulting preference states

A user-memory environment must not remain preference-valid if materially significant preference
information cannot be reconstructed, reviewed, or governed.

Use Case 1 — Personal AI Assistant

Scenario

A personal AI assistant continuously adapts to a user's preferred communication style, language,
workflows, and interaction patterns.

Application

UPMM governs preference continuity, update integrity, and preference accountability.

Result

The assistant provides more accurate personalization and stronger long-term interaction quality.

Use Case 2 — Intelligent Service Platform

Scenario

A digital platform continuously personalizes recommendations, content, and services based on user preferences.

Application

UPMM governs preference accuracy, traceability, and contextual validity.

Result

The platform gains stronger personalization quality and reduced exposure to preference drift.

Canonical Closing Statement

User Preference Memory Module (UPMM) defines the structural conditions under which memory related
to user preferences remains accurate, current, contextualized, traceable, accountable, and operationally
valid throughout personalization, interaction, learning, and long-term Human-AI relationship processes.

Personalization cannot remain trustworthy if preference memory becomes inaccurate.
User preference memory therefore becomes a foundational integrity condition of
trustworthy Human-AI interaction.