Abstract
This disclosure describes how a reset is carried out when a flaw affects many AI systems at once, such as a defect in a shared model, a compromised software bundle or a weakness found in a common sensor. The affected set is found by following the identifier graph from the flawed item to every system that contains, runs or derives from it. A fleet-wide reset requires authorization by a quorum of independent parties, such as the certification body, the standards body and an independent safety authority, so that no single party can order one and no single party can block one; an individual system's own safety plane may still reset it at any time. The reset runs in staged waves rather than all at once. Systems are ordered by risk, highest first, and each wave is limited so that essential services, such as medical, safety and utility functions, keep a declared minimum of working capacity, served by unaffected peers or by safe fallbacks while affected systems are down. Physical systems first move to a safe state locally. For each system, the restore point is chosen as the last verified point from before the flaw entered it, using the history of bundles it ran and the time the flaw was introduced, not merely the latest backup. Each restored system must pass its start-up checks and a targeted test for the flaw before returning to service, and each wave proceeds only when the previous wave's restored systems are healthy. Progress is recorded in a shared ledger, and the reset can be paused or rolled back between waves.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wang, Edward D. H., "SI Reset™: Fleet-Wide Reset and Restore of AI Systems Affected by a Common Flaw, Scoped through the Identifier Graph, Authorized by a Quorum of Independent Parties, Executed in Staged Waves that Preserve Essential Service, and Restored to the Last Point before the Flaw", Technical Disclosure Commons, (October 20, 2026)
https://www.tdcommons.org/dpubs_series/12305