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Who governs the AI systems that govern us?

The research paper proposes civic charters, participatory audits, and transparent oversight. GovernanceOS turns those proposals into composable software modules with live metrics.

What GovernanceOS models

The research paper describes governance in abstract terms — charters, assemblies, audits. GovernanceOS makes it concrete. It models five governance software modules, five citizen assemblies, a full charter framework, 10-year audit coverage projections, and participation equity metrics for 10 million residents.

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Civic AI Charter

Three pillars — Representation, Finance, Transparency — each with enforceable principles. Citizen assemblies issue go/no-go recommendations that procurement must honor.

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Citizen assemblies

Five sortition-based assemblies — AI Safety, Climate & Energy, Housing, Digital Rights, Budget — with demographic breakdowns, turnout rates, and binding decision records.

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Governance modules

Five composable software modules: Representation (sortition + voting), Finance (treasury + disbursement), Transparency (audit pipeline), Identity (W3C DID), and Measurement (instrumentation pipeline).

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AI audit tracker

10-year coverage trajectory from 10% to 100% of high-risk AI systems audited. Incident timeline, resolution rates, and threshold-triggered policy reviews.

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Participation & equity

Demographic equity index across 8 groups, satisfaction scores, accessibility metrics, and quadratic voting statistics — ensuring governance reflects the governed.

The charter at a glance

3
pillars
12
principles
5
assemblies
100%
audit target

Based on the UNESCO Recommendation on the Ethics of AI, adapted locally with citizen participation:

🏛️ Representation

Delegate graph, participation quotas, recall tooling, sortition-based assemblies. One person, one voice — weighted by nothing except residency.

💰 Finance

Treasury accounting, programmatic disbursements, on-chain attestations. All flows auditable in real-time via public ledger. 24-month escrow reserve.

🔍 Transparency

Bias tests, red-team exercises, incident reports feed public dashboards. Every high-risk AI system gets a participatory safety review before deployment.

Enforcement: Citizen assemblies issue go/no-go recommendations that procurement must honor. Legal teams convert outputs into ordinances within 45 days. Majority and minority reports are published.

Governance modules: composable building blocks

Each module ships as a standalone service with APIs. Cities can adopt independently:

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Representation Module (GA v1.2)

Sortition engine, delegate graph, participation quotas, ranked choice/quadratic/approval voting, screen reader + multi-language + IVR support. 78K active voters, 1,200 delegates.

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Finance Module (GA v1.1)

Real-time treasury dashboard, rules-based disbursements, on-chain attestation, escrow management. $1.25B disbursed, 8.4M transactions, 12-second settlement.

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Transparency Module (GA v1.0)

Bias test suite, red-team scheduler, incident pipeline, auto-published dashboards, threshold alerts. 142 systems audited, 23 incidents, 91% resolved.

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Identity Module (Beta v0.8)

W3C DID-based civic identity, zero-knowledge residency proof, selective attribute disclosure, cross-region portability, offline QR/NFC verification. 92K IDs issued, zero privacy incidents.

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Measurement Module (GA v1.3)

Kafka/Snowplow event collection, DuckDB/Iceberg analytics, auto-generated weekly public briefs, rolling 90-day reports, quarterly hearing packages. 12M events/day from 45 sources.

AI audit coverage: 10% to 100%

In 2026, only 10% of high-risk AI systems have participatory safety reviews. The charter mandates 100% coverage by 2035, with threshold breaches triggering automatic policy reviews, funding reallocations, or temporary pauses.

The audit tracker models this trajectory year by year, showing:

Coverage percentage

From 10% (2026) to 100% (2035) — a 10x expansion of charter-mandated participatory reviews.

Incident tracking

Incidents rise initially as more systems are reviewed (peaking at 15 in 2029), then decline as compliance matures to just 2 by 2035.

Resolution rates

Consistently above 90%, reaching 100% resolution by 2030 as processes mature.

How GovernanceOS connects to the ecosystem

GovernanceOS is the institutional layer. It governs the policies that CivilizationOS delivers to residents and that TransitionOS uses for workforce transitions. The simulation toolkit projects governance outcomes across 50 years and 12 policy branches.

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Explore the GovernanceOS dashboard

Browse the full charter, inspect citizen assemblies with demographic breakdowns, explore five governance modules with live metrics, track audit coverage, and measure participatory equity.

🚀 Open GovernanceOS dashboard → 💻 GovernanceOS on GitHub →
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See the resident experience layer

CivilizationOS models what residents actually experience — civic journeys, Civic Dividend payouts, benefits and support services, and KPI projections.

🚀 Open CivilizationOS dashboard → 🌍 CivilizationOS on GitHub →
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Explore the Transition OS dashboard

The reskilling engine governed by charter-mandated workforce transition policies. Browse 20 occupations, explore reskilling paths, and see how Civic Dividends bridge income gaps.

💻 TransitionOS on GitHub →
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Explore the ClimateOS dashboard

Four climate futures from now to 2050 — toggle between aggressive action and worst case to see how temperature, biodiversity, energy, water, food, and forests respond. Scenario-aware analysis beneath every chart.

🌱 Open ClimateOS dashboard → 💻 ClimateOS on GitHub →
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Run the simulation yourself

All of these systems are projected across 50 years in the simulation toolkit — 12 policy branches, 5 structural metrics, interactive charts, and AI-generated narrative reports.

👾 Simulation Toolkit on GitHub →