Trust Degradation Module (TDM)
OriginID: OOF-OID-ASGA-ARTS-TDM-2026-07-06-0003
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Autonomous Systems Governance Architecture
(ASGA™)
Operational Layer: Autonomous Operational Governance Layer
Governed Space: Trust Degradation
Category: Governance & Enforcement
Subcategory: Autonomous Operational Governance
Type: Autonomous Risk & Trust Standard Module
Parent Standard: Autonomous Risk & Trust Standard (ARTS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 6 July 2026
Compatibility: OOF Methodology OS · GOA™ · ORA™ · AGA™ · AIG® ·
CLIA® · MGIA™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)
Canonical Definition
Trust Degradation Module (TDM) defines the structural conditionsunder which reductions in operational trust are identified,
evaluated, monitored, and governed throughout autonomous operation.
TDM governs trust degradation.
The module establishes the governance conditions required to ensure
that declining operational trust is detected early and addressed
before it compromises autonomous operation.
Trust is not permanent.
Trust may increase or decrease over time.
TDM governs that degradation.
Minimum Implementation Framework
1. Define the Trust Degradation ObjectIdentify which autonomous operational activities require monitoring
for declining trust.
2. Define Trust Degradation Conditions
Establish governance conditions for identifying and evaluating
reductions in operational trust.
3. Define Trust Degradation Failure Logic
Identify conditions where declining trust is not detected,
incorrectly evaluated, or governance-invalid.
4. Define Governance Response
Define governance actions for increased monitoring, operational
restriction, trust review, escalation, or corrective action.
5. Preserve Trust Traceability
Preserve trust assessments, governance decisions, operational
evidence, degradation history, and supporting documentation.
Use Case 1 — Autonomous Inspection Drone
ScenarioAn autonomous inspection drone begins producing inconsistent
inspection results during routine operations.
Application
TDM detects the reduction in operational trust and initiates
additional governance review.
Result
Potential operational issues are identified before trust
deteriorates to unacceptable levels.
Use Case 2 — Enterprise Autonomous AI Agent
ScenarioAn autonomous AI agent gradually produces recommendations with
decreasing reliability.
Application
TDM monitors trust degradation and triggers governance actions
before operational confidence is lost.
Result
The organization preserves trustworthy autonomous operation through
early governance intervention.