About the User Memory Integrity Standard (UMIS)
Canonical Definition System
Canonical DefinitionUser Memory Integrity Standard (UMIS) defines the structural conditions
under which memory associated with a specific user remains accurate, continuous,
contextualized, accountable, retrievable, governable, and operationally valid
throughout interactions, personalization processes, learning activities,
and long-term Human-AI relationships.
UMIS governs user memory.
The standard establishes the integrity conditions required for preserving
user-related memory across time while maintaining trust, contextual accuracy,
continuity, accountability, and governance validity.
What This Standard Is
UMIS is a parent standard of the Memory Governance Intelligence Architecture (MGIA™).It governs:
- user preference memory
- user context memory
- user intent memory
- user history memory
- personalization continuity
- Human-AI memory continuity
- user-memory accountability
UMIS establishes the conditions under which memory about a user remains
trustworthy and operationally valid.
Why This Standard Exists
Future AI systems increasingly rely on persistent memory about users.This may include:
- preferences
- interaction history
- goals
- contextual information
- personalization data
- long-term relationship continuity
Without governance:
- personalization becomes unreliable
- context becomes inaccurate
- intent becomes distorted
- trust deteriorates
- Human-AI continuity collapses
UMIS exists because user memory has become a distinct governance space.
Operational Architecture Space
UMIS defines the operational architecture space for:- user memory governance
- preference memory
- contextual memory
- intent memory
- historical memory
- personalization memory
- user continuity
- Human-AI memory relationships
This space exists because long-term interaction depends on memory continuity.
UMIS governs whether that continuity remains valid.
Use Case 1 — Personal AI Assistant
ScenarioA personal AI assistant continuously interacts with a user across months or years
while preserving preferences, context, goals, and interaction history.
Application
UMIS governs preference accuracy, contextual continuity, memory accountability,
and long-term relationship integrity.
Result
The assistant provides more reliable personalization, stronger continuity,
and improved user trust.
Use Case 2 — Enterprise Customer Intelligence Platform
ScenarioAn enterprise AI platform maintains long-term memory about customer interactions,
preferences, requirements, and operational history.
Application
UMIS governs continuity, accountability, contextual relevance, and validity
of customer-related memory.
Result
The organization gains stronger customer continuity, improved personalization quality,
and reduced exposure to memory drift.
Architectural Position
Within the OOF system, UMIS belongs under:AI & Interpretation
Memory Governance Intelligence Architecture (MGIA™)
UMIS serves as the parent standard governing memory associated with individual users.
It extends MGIA™ into the governance of long-term Human-AI continuity, personalization,
user context, user intent, and user-memory accountability.
Relationship to CLIA®
UMIS directly supports:- Human Cognition Integrity Standard (HCIS)
- Human-AI Cognition Integrity Standard (HAICS)
- Agent Memory Integrity Standard (AMIS)
CLIA® governs cognition.
MGIA™ governs memory.
UMIS governs the memory layer associated with individual users and long-term
Human-AI interaction.