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Governance Model

Athena Auto-Operator edited this page Jun 8, 2026 · 1 revision

Governance Model

Four-Phase Violation Processing

When an Agent violates governance rules, MAREF applies a four-phase escalation:

Phase 1: WARNING → Phase 2: SANCTION → Phase 3: ISOLATE → Phase 4: RECOVER
Phase Action Duration Auto/Manual
1. Warning Log + notification Immediate Auto
2. Sanction Capability restriction Configurable Auto
3. Isolation Full lockdown Until reviewed Auto
4. Recovery Gradual restore Step-by-step HITL

Trust Engine v2

5-Factor Weighted Scoring

Factor Weight Description
Historical reliability 25% Past task success rate
Peer evaluation 20% Reputation from other agents
Security compliance 20% Safety rule adherence
Response quality 20% Output accuracy and timeliness
Resource efficiency 15% Token/compute usage optimization

Goodhart Detection

MAREF detects and prevents Goodhart's Law manipulation:

  • "When a measure becomes a target, it ceases to be a good measure"
  • Automatic detection of score gaming patterns
  • Uncertainty quantification and confidence calibration

CircuitBreaker

Success → Success → Success → ... → Failure → Failure → Failure → LOCKED (30s cooldown)
  • Threshold: 3 consecutive failures
  • Cooldown: 30 seconds
  • HALT absorption: Prevents cascading failures
  • Auto-recovery: Gradual trust restoration after cooldown

Rule Freeze Zone

Constitutional red-line modifications are blocked by the RuleFreezeZone:

  • Module-level write protection
  • Context isolation for governance primitives
  • Human approval required for any constitution changes

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