Indigenous Data & Government Threat in the US
How US federal data infrastructure threatens Indigenous data. Why treaty data, environmental submissions, and benefit records become surveillance infrastructure. What the structural pattern means for Indigenous communities in other countries.
Read more →AI Hallucinations
What hallucinations are, why they happen, and where they are actually useful. How RAG changes the risk profile. A practical rule of thumb for knowing when AI is safe to use for your team's work.
Read more →Local Models: Capability and Tradeoffs
What "smaller" actually means for local AI. Hardware requirements at each tier. How RAG, prompt engineering, and model selection close the gap with cloud tools for the tasks Indigenous teams actually do.
Read more →Local AI Infrastructure for Indigenous Orgs
How to run a local AI stack using Ollama and Open WebUI. Hardware guidance at each tier. What local infrastructure enables for your team -- and what it does not automatically solve.
Read more →Hierarchy of Data Risk
A six-tier framework for evaluating AI tools against the specific threat model facing Indigenous Nations: federal government access to community data. The five questions every tool choice should answer.
Read more →Building with AI: Risk and Control for Developers
What agentic coding tools transmit beyond your code. A risk hierarchy for coding contexts. A community-curated ticker of recent AI security developments -- unverified, for research starting points.
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