When AI fails,
it lands here.
A daily tracker of documented AI incidents and hazards — from biased models and deepfake scams to autonomous-system accidents. Counted, charted, and sourced from the three most serious public databases. No doom, no hype; just the score.
Loading the latest numbers…
The score
stats.json →FAILCON — how loud is it right now?
The long fail
Fresh off the wire
Full wire →Hall of Fail
All entries →Methodology & sources
Full methodology →Nobody agrees on what exactly counts as an "AI incident", so we don't pretend there is one true number. This tracker aggregates three public databases with different editorial bars and shows you which number comes from where:
- OECD AI Incidents Monitor (AIM) — automated, news-derived, the broadest net. Powers the totals, the charts, and the wire.
- AI Incident Database (AIID) — human-curated incidents with full report trails (CC BY-SA 4.0). Powers the curated count and incident links.
- MIT AI Risk Repository — Incident Tracker — AIID incidents classified by risk domain and severity (CC BY 4.0). Powers the Hall of Fail and the domain chart.
Known gaps: all three sources skew towards English-language media; the OECD feed is LLM-classified news, so single events occasionally split or merge; and "documented" lags "happened" by days. Counts here are floors, not ceilings.
FAQ
What counts as an AI incident?
We follow the OECD definition: an event where an AI system's development or use caused actual harm — to people, property, rights, or infrastructure. A hazard is the near-miss variant: plausibly could have caused harm, didn't (yet). Both are tracked and labelled separately on the wire.
Why do your numbers differ from other trackers?
Because editorial bars differ. The OECD monitor mines global news automatically (~16k events), while the AI Incident Database curates by hand (~1.6k incidents). We show both and label which is which — treat every count as a floor, not a ceiling.
How fresh is the data?
A scheduled pipeline refreshes the OECD and MIT feeds daily and the AIID snapshot weekly. The "updated" stamp at the top of the page is the last successful run.
Is this site anti-AI?
No — it's built by people who ship software with AI every day. Ignoring failure modes is how they repeat. Counting them honestly is the least an industry this fast should do.