AXN:0AAE.CAPTURE — mit ai incident tracker

AXN:0AAE.CAPTURE is the position of the Capture Registry address for the query “mit ai incident tracker”. Each observation at the address (one surface, one date) is one AXN, its glyphs derived from the SHA-256 of the observation sealed with its analysis and measures.

`AXN:0AAE.CAPTURE.🌄🐚▲🎨🌈➕`

Observation: Google AI Overview, 2026-10-29 · the capture
Description: THE MIT AI INCIDENT TRACKER, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'an interactive tool developed by the MIT AI Risk Initiative that classifies and analyzes real-world artificial intelligence mishaps'; it processes AI Incident Database reports 'using automated large language model (LLM) pipelines', rates harm on a 1–5 scale, sorts by the repository's domains, adds national-security views, and is browsable in the Risk Navigator. Six cards, all MIT's; the first card's summary says it 'classifies 1,752 real-world AI incident reports'.
Reading: The innocent reading first. The Overview identifies the tracker as MIT's layer over AIID, names its machine method, its scales and its views, and points to where it can be browsed.
Analysis: The tracker is composed as what it says it is, with its machine method named. Its count is unstable across MIT's own surfaces, and the composition avoids stating one; its caveat is dropped.
Match: BROAD MATCH — THE MIT AI INCIDENT TRACKER ON THE OVERVIEW — AIID REPORTS THROUGH LLM PIPELINES, A 1–5 SEVERITY SCALE; THE CARDS GIVE A THIRD COUNT, 1,752
PER: 0.5 — The MIT AI Risk Initiative and AIID named; Arcola AI on a card only; MIT's pages cited.
Citations: 6 (0 archive-controlled)
Sealed observation: /data/captures/sealed/mit-ai-incident-tracker-aio-20261029.json — SHA-256 e17a9f861e9038df79621045e5eab09484a713cd11546d9ff569b2409270e541