AI engineering glossary · AI ethics law product
What is AI Incident Database?
AI Incident Database: A public collection of reports of real-world harms and near-harms caused by AI systems, maintained so that developers and researchers can learn from past failures instead of repeating them. It is used in risk assessments to find similar historical cases.
AI Incident Database: an example
Before launching a facial-recognition feature, a team searches the database for past incidents involving similar systems to anticipate failure modes.
Related terms
More AI ethics law product terms
- AI risk assessment
- Algorithmic bias
- Algorithmic impact assessment
- Algorithmic recourse
- Anonymization
- Automated decision-making
- Automation bias
- Bias audit
Where you learn it
AI Incident Database is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.