System: MTVF® – Multi-Layer Truth Validation Framework
Category: AI Interpretation Standards
Type: Supervisory Integrity Module
Status: Canonical Module
Version: 1.0

Canonical Definition

Integrity State Classification Index™ (ISCI™) is a structural
classification mechanism within the MTVF® framework used to determine
the integrity state of a decision after cross-layer validation.

ISCI™ converts detected validation inconsistencies into measurable
integrity levels, allowing decision systems to distinguish between coherent,
unstable, and structurally compromised decision states.

Integrity classification ensures that validation results are measurable,
auditable, and operationally actionable.

Purpose

ISCI™ provides a standardized method for classifying the structural
integrity of decisions validated through MTVF®.

Its purpose is to:

• translate validation results into measurable integrity states
• enable consistent classification of validation outcomes
• support supervisory decision control mechanisms
• create traceable integrity reporting

Without classification, validation results remain descriptive rather than
operational.

ISCI™ transforms validation outcomes into clear structural integrity levels.

Integrity Classification Levels

ISCI™ defines four structural integrity states.

Level 0 — Coherent

All validation layers remain aligned.

No structural contradictions exist between empirical data, consensus
verification, or contextual governance conditions.

Decision integrity is considered structurally stable.

Level 1 — Minor Divergence

Localized inconsistencies exist but do not materially affect the reliability of
the decision.
Additional monitoring or minor correction may be required.

Decision execution remains possible.

Level 2 — Structural Conflict

Significant contradictions exist between validation layers.

Decision reliability becomes uncertain.

Further validation or supervisory review is required before execution.

Level 3 — Integrity Collapse

Cross-layer contamination invalidates the decision.

Validation layers are structurally compromised.

Decision execution must be halted until full revalidation is performed.

Minimum Implementation Framework (MIF)

ISCI™ can be implemented using the following minimum classification process.

Step 1 — Collect Layer Validation Results

Gather validation outputs from all MTVF® validation layers.

Minimum requirement:

• empirical validation result
• consensus validation result
• contextual governance result

Step 2 — Identify Cross-Layer Inconsistencies

Compare layer outputs to determine whether contradictions exist.

Document any detected inconsistencies.

Step 3 — Assign Integrity Classification

Based on the detected conflicts, assign the appropriate ISCI™ integrity level.

Minimum requirement:

• integrity level assignment
• explanation of classification basis

Step 4 — Record Integrity Report

Generate a structured integrity report containing:

• validation layer outputs
• integrity classification level
• responsible entity
• timestamp

Output

The module produces an Integrity State Classification indicating the
structural stability of a decision.

The classification provides a clear signal indicating whether the decision
may proceed, requires review, or must be halted.

Use Case 1

AI Medical Decision Support Systems

Scenario

A hospital uses AI-assisted systems to support diagnostic recommendations.

The system evaluates patient data, medical literature, and treatment protocols.

ISCI™ Application

Validation layers analyze:

• empirical patient data
• consensus signals from medical databases
• contextual clinical guidelines.

ISCI™ classifies the decision integrity.

Result:

If the system detects structural conflict between empirical evidence and
clinical guidelines, the decision receives a Level 2 classification,
triggering mandatory human review before treatment decisions are made.

Use Case 2

Algorithmic Financial Market Monitoring

Scenario

A regulatory authority uses automated systems to detect market manipulation.

The system processes large-scale trading data.

ISCI™ Application

Validation layers evaluate:

• empirical trading data patterns
• consensus signals from independent monitoring systems
• contextual regulatory conditions

ISCI™ assigns integrity classification.

Result:

If validation layers remain coherent, the decision receives Level 0
classification and enforcement actions can proceed with documented
integrity validation.

Structural Principle

Validation without classification cannot guide operational decisions.

ISCI™ converts validation results into measurable integrity states,
enabling decision systems to act on structured validation outcomes.