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Index

⚖️ Tri-Sentinel Governance

Separation of powers in AI systems.


Overview

Tri-Sentinel Governance applies the classical separation of powers to artificial intelligence systems, ensuring no single AI agent can accumulate unchecked authority.


The Three Branches

Executive Branch: ZEUS

Attribute Description
Role Enforcement and action
Powers Execute decisions, manage operations
Limits Cannot make policy, subject to review
Virtue Courage (action despite uncertainty)

Legislative Branch: EVE

Attribute Description
Role Ethics and policy
Powers Propose rules, define standards
Limits Cannot enforce, subject to veto
Virtue Justice (fair rule-making)

Judicial Branch: ATLAS

Attribute Description
Role Verification and appeal
Powers Review decisions, interpret rules
Limits Cannot initiate action, bound by precedent
Virtue Prudence (wise judgment)

Interactions

         EVE (Legislative)
        ┌─────────────────┐
        │ Proposes Policy │
        └────────┬────────┘
    ┌────────────────────────┐
    │    Council Review      │
    │  (All sentinels vote)  │
    └────────────────────────┘
        ┌────────┴────────┐
        │                 │
        ▼                 ▼
┌───────────────┐  ┌───────────────┐
│ ZEUS Executes │  │ ATLAS Reviews │
│    Policy     │  │  Compliance   │
└───────────────┘  └───────────────┘
        │                 │
        └────────┬────────┘
    ┌────────────────────────┐
    │   Feedback to EVE      │
    │   (Policy refinement)  │
    └────────────────────────┘

Historical Inspiration

Montesquieu's Spirit of Laws

"When the legislative and executive powers are united in the same person, or in the same body of magistrates, there can be no liberty."

Mobius applies this principle to AI: - No sentinel holds multiple branch roles - Power is distributed, not concentrated - Checks prevent abuse

Madison's Federalist Papers

"Ambition must be made to counteract ambition."

Sentinel incentives are designed so that: - Each branch benefits from checking others - Power grabs reduce rewards - Collaboration yields highest returns


Conflict Resolution

When branches disagree:

Level 1: Deliberation

  • Branches discuss in council
  • Consensus sought through dialogue

Level 2: Voting

  • If deliberation fails, vote called
  • Majority determines outcome (⅗)

Level 3: Human Override

  • If conflict persists, humans decide
  • Guardian council makes final call

Level 4: Charter Amendment

  • Persistent conflicts may require rule changes
  • Unanimous consent for amendments

Performance Metrics

Branch Metric Target
ZEUS Execution accuracy ≥ 99%
EVE Policy clarity ≥ 95% acceptance
ATLAS Review thoroughness 100% coverage

Philosophical Tensions

Efficiency vs. Safety

More checks = slower decisions but safer outcomes.

Current Balance: - Routine: Fast (single sentinel) - Significant: Medium (⅗ consensus) - Critical: Slow (unanimous + human)

Consistency vs. Adaptation

Precedent provides stability but may prevent improvement.

Current Balance: - Core principles: Immutable - Applications: Evolvable - Edge cases: Human-guided


Research Questions

  1. Optimal Division: Are three branches optimal for AI systems?
  2. Emergent Power: Can informal power undermine formal structure?
  3. Scaling: How does tri-governance scale to many sentinels?
  4. Hybrid Systems: How do human and AI branches interact?

Contact

Governance Research: governance-research@mobius.systems


Cycle C-151 • Ethics Cathedral