SECAI Core · phase 14 of 15 · noun
AI Incident Database
A collection of AI incidents reported in real time
The Explain card
- Plain English
- The AI Incident Database is a public collection of reported real-world AI incidents, gathered as they happen, where systems caused or nearly caused harm.
- Example
- Before deploying a resume-screening model, a security consultant searches the database for hiring-related incidents and finds documented cases of biased filtering, using them to justify additional fairness testing.
- Why it matters
- Aviation got safer by studying crashes. The database lets defenders learn from other people's AI failures instead of repeating them, and gives threat models concrete, citable precedents.
- Hook
- The crash log for the whole industry.
Word knowledge
How the word is built, where it came from, and what it sits beside in memory.
In a sentence
A safety engineer submits logs from a warehouse robot collision to the AI Incident Database before beginning the root-cause review.
Why these words
- AI English initialism of artificial intelligence identifies the technical field
- incident Latin incidere, to happen or befall specifies the type of event recorded
- database English compound of data and base names the organized digital resource
Where it came from
- Origin
- English compound title formed from AI, incident, and database
- Entered the language
- 2020
- What changed
- Incident narrowed toward harmful or noteworthy events, while database developed as a computing term for systematically stored information.
How it is spelled
- Pattern
- AI remains capitalized because it is an initialism
- Pattern
- incident keeps the Latin-derived ending -ent
- Pattern
- database is written as one closed compound
- Breaks the pattern
- The formal name uses title capitalization for Incident Database.
Spelled like
- AI safety
- AI system
- resident
- codebase
Broken into chunks
-
AI
- ML
- NLP
-
inci
- incident
- incidental
-
data
- dataset
- metadata
-
base
- codebase
- airbase
What it sits beside
Same subject
- AI safety
- incident reporting
- root-cause analysis
- model monitoring
Same shape
- National Vulnerability Database
- Aviation Safety Reporting System
AI risk documentation
- incident report
- audit log
- risk register
Where it sits in the deck
Phase 14: Incident Response, Evaluation, and Knowledge Bases
When detection fires, teams need structured response plans, scoring frameworks, and curated knowledge bases to triage, measure, and learn from AI security events.