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SAFETY INCIDENTS

Documented AI incidents in the past 12 months
SIGNAL ID · 04
LIVE
~406
incidents / yr (est) RISK HIGH
UPDATED
2026-05-26 18:02:53 UTC
UPDATE FREQUENCY
weekly
DATA POINTS
6
EVIDENCE PASSPORT
LAST FETCH
2026-05-26 18:02:53 UTC
AGE
13m ago
METHODOLOGY
v1.0
CONFIDENCE
MEDIUM
MEASUREMENT RISK
MEDIUM
EVIDENCE STRENGTH
●●○ MODERATE
COLLECTION
live_api
SNAPSHOT
41247188
FLAGS
ESTIMATE EXTRAPOLATED ANNUALIZED
WHY THIS SIGNAL MATTERS
Tracks an annualized estimate of documented AI incidents, extrapolated from a rolling reporting window — not a complete or real-time count. Movement can reflect shifts in media attention and reporting practices as much as in actual incident frequency.
KNOWN LIMITATIONS
  • AIID relies on public reporting; many incidents go undocumented
  • Reporting volume reflects journalism patterns, not just incident frequency
  • Editorial verification process introduces lag of days to weeks
AI INSIGHT · POWERED BY DEEPSEEK GENERATING…
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AI LENSES EXPERIMENTAL

Experimental model-generated interpretation of this verified signal.

The value and Evidence Passport above are evidence-backed; AI lenses are interpretive and may be incomplete or wrong.

TREND · LAST 90 DAYS
METHODOLOGY
Count of distinct incidents reported to the AI Incident Database in the trailing 365-day window. An incident is any documented case where deployed AI caused or could have caused real-world harm. Includes reports verified by AIID editorial process.
SOURCE
AI Incident Database (AIID) ↗
SIGNAL TYPE
incidents / yr
RAW DATA · LAST 30 ENTRIES DOWNLOAD JSON ↗
DATE VALUE DELTA TIMESTAMP (UTC)
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OTHER SIGNALS
NOTE ON AI ANALYSIS

AI-assisted perspectives are generated through external frontier model APIs. Provider identities may rotate. mohamed.tech performs synthesis, caching, and presentation.