Area of Focus: selfdriven Sovereign Gov Kit, an Open Framework for Community-Driven, AI-Assisted Governance
“Governance is not a platform for control — it’s a system for collective self-actuation.”
Purpose
The selfdriven Gov Kit empowers any organisation, community, or region to govern with AI — not by replacing humans, but by training intelligence systems around verified community intent.
It mirrors the mission of AI-powered policy simulation and sovereign decision systems but focuses on progressive self-governance, SSI sovereignty, and participation.
Core Outcomes
| Outcome | selfdriven Gov Kit |
|---|---|
| AI-powered policy forecasting | AI-assisted reflection & projection engine that models the social, economic, and environmental outcomes of community actions |
| Sovereign compute infrastructure | selfdriven.network based data sovereignty layer using Verifiable Credentials (VCs) and Cardano root-of-trust |
| Governance Shared Octology | Use octology.io for modular governance “skills” for policy, learning, health, environment, and finance |
| Multilingual governance co-pilots | Community AI Assistants that speak local dialects, reference local law/policy, and surface verified institutional data |
| Open international collaboration | Network of selfdriven Institutes forming a federated Governance Network (SDIGN) linking research to policy |
System Architecture
Layer 1 — Human-AI Interface
Goal: Make civic reasoning interactive and transparent.
Modules:
- Reflect & Project: conversational tool for simulating governance choices
- Deliberation Copilot: AI assistant that summarises, compares, and verifies options
- Citizen Mirror: personal reflection space where users see how their choices affect shared goals
Layer 2 — Trust & Identity
Goal: Ensure verifiable, consent-based participation.
Modules:
- DID & VC engine (EntityOS) — individuals and organisations anchor decisions to verifiable credentials
- Proof Ledger — all actions hashed on Cardano (CIP-68 metadata)
- Privacy envelope — selective disclosure for collective deliberation
Layer 3 — Governance Engine
Goal: Simulate, forecast, and test community policies.
Modules:
- Policy Flow Simulator — turns decisions into visual systems maps (social, financial, environmental)
- Outcome Forecaster — AI-driven projection model that uses real and proxy data
- Feedback Loop — converts simulation results into updated learning goals
Layer 4 — Interface Hub (Gov App Store)
Goal: Modularise and share governance intelligence.
Modules:
- Governance Skills Marketplace (open source modules for sustainability, budgets, wellbeing, etc.)
- Metrics Commons (shared schema for evaluating governance performance)
- Data Connectors (hooks for local and global datasets)
Layer 5 — Federation & Research
Goal: Link communities to regional, national, and global intelligence networks.
Modules:
- Governance Network (GN) — nodes operated by selfdriven.network operators
- Federated Model Exchange — share trained governance models (LLMs, decision trees, causal graphs)
- Inter-Community Governance Dialogues — cross-community reflection sessions via multilingual co-pilots