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Governance Model
Athena Auto-Operator edited this page Jun 8, 2026
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1 revision
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 |
| 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 |
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
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
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
© 2026 MAREF Contributors. Licensed under Apache-2.0.