AI engineering glossary · AI ethics law product
What is AI audit?
AI audit (also called algorithm audit): An examination of an AI system, by internal or external reviewers, against defined criteria such as accuracy, fairness, security, legal compliance and documentation. It may involve inspecting data, models, processes and outputs, and produces findings and recommendations.
AI audit: an example
An auditor reviews a lender's model documentation, tests its outputs by group and reports gaps in monitoring.
Related terms
- Bias audit
- AI governance
- Algorithmic impact assessment
- Model risk management
More AI ethics law product terms
- AI governance
- AI incident
- AI Incident Database
- AI risk assessment
- Algorithmic bias
- Algorithmic impact assessment
- Algorithmic recourse
- Anonymization
Where you learn it
AI audit is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.