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Ethical AI for Human Stewardship

The Civic Intelligence of the Tuvalu Sovereign Vision

Deployment Model

​Guardian and Arbor are built on a model-agnostic inference architecture. The current reference implementation uses [Llama 3 / Mistral], with full capability to substitute alternative open-source models as the landscape evolves. Tuvaluan language capability is developed through community fine-tuning as a sovereign cultural asset.

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  • Local Hosting: All models are deployed on rugged on-island servers, within the jurisdiction of Tuvalu.
     

  • Air-Gap Capable: Critical inference nodes can run offline, powered by solar or MMR-backed energy.
     

  • Privacy Protocols: No personal data leaves the island; all requests are handled locally by the Arbor device or Guardian terminal.
     

  • Containerization: Likely deployed using Docker, Podman, or Kubernetes-lite for microservice orchestration.

Security Design

  • Core Principles: Data minimization, zero trust, full auditability.
     

  • Hardening: UFW, fail2ban, local-only ports, certificate-pinned access, minimal external dependencies.
     

  • Optional Integrations: Starlink uplink, Guardian Mirror Vaults, or encrypted S3-like data lakes for resilience.

Building Tuvaluan into Guardian and Arbor

Workstream 1 
Corpus Building

  • Record elders speaking — stories, civic language, technical vocabulary
     

  • Transcribe existing written Tuvaluan (government documents, church records, school materials)
     

  • Create new vocabulary for concepts that don't exist in Tuvaluan yet — "battery vault," "solar array," "Guardian beacon" — this is genuinely exciting cultural work, not just translation
     

  • Target: 50,000–100,000 words of clean, transcribed Tuvaluan text as minimum viable corpus

Workstream 2 
Fine-Tuning

  • Use LoRA/QLoRA fine-tuning on a base model (Llama or Mistral) with the corpus
     

  • The model won't be fluent — it will be functional for Arbor's specific use cases
     

  • Arbor doesn't need to discuss philosophy in Tuvaluan. It needs to explain water levels, confirm voting choices, read health alerts, and greet children by name
     

  • That is a much smaller vocabulary target than general fluency

Workstream 3  Community Validation

  • Every Arbor response in Tuvaluan gets reviewed by community elders before deployment
     

  • This isn't just quality control — it's sovereignty. The language model becomes a community-owned cultural asset
     

  • Guardian logs all Tuvaluan language interactions for ongoing improvement

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