Glass Box with Transparent Enforcement Rules
Open-source logic layers, multi-signer verification, and transparent enforcement rules.
Glass Box Design: How We Avoid Algorithmic Capture
1. Open-Source Logic Layer
All enforcement rules are public if/then functions. No neural nets, no "trade secrets."
const data = getVerifiedData('community_survey');
if (data.vulnerableIncome < data.medianIncome * 0.8) {
triggerLoanFreeze();
notifyCommunity();
}
}
2. Multi-Signer Data Verification
Every metric requires 3 signatures from different stakeholder classes:
- 📊 Community-hired researcher (hashes data on-chain)
- 🏢 Developer consultant (independent verification)
- ⚖️ Third-party auditor (UN panel member)
2-of-3 approval needed for data to be valid. Community can veto developer's signature by 60% assembly vote.
3. Community-Editable Weights
Indigenous communities can adjust metric weights via quadratic voting assembly. Changes logged immutably.
2025-12-09 14:47:23 UTC | Community Assembly Mankayan
Action: Increased "Ceremonial site access" weight from 30% → 45%
Votes: 342 participants | Quorum: 289
Hash: 0x8f3a...b2c1
4. Immutable Trigger Ledger
All enforcement actions are automatic and irrevocable once conditions are met. No "human override" for capital-friendly outcomes.
// Condition: CTF deposit = $2.1M / $5M required (42%)
// Deadline: T+30 days exceeded by 17 days
// Status: DISBURSEMENT_HALTED
// Board override: Requires 7 days notice + community rep vote
// Next possible disbursement: 2025-12-15 (if CTF fully capitalized)
🎯 The Advantage: AI as Consistent Bailiff
Why AI enforcement works: It doesn't get captured by developer promises, government pressure, or fatigue. It executes the rules as written—rules the community can read, edit, and verify.
Why it's safe: The logic is simpler than a spreadsheet. No hidden layers, no training data secrets. If the community's survey says income is 73% of median, the loan freezes. Full stop.
The human role: Not to override the AI, but to **audit the data** and **update the rules** through democratic process. AI handles consistency; humans handle justice.