AI engineering glossary · AI ethics law product
What is bias audit?
Bias audit (also called algorithmic audit): A structured, often independent, examination of an automated system's outcomes to see whether it treats groups unequally. It reports selection rates or error rates by group. Some jurisdictions require such audits for automated hiring tools.
Bias audit: an example
Before launching an AI interview scorer, a company hires an external firm to compute pass rates by gender and age band and publish a summary.
Related terms
More AI ethics law product terms
- Bias mitigation
- Black-box model
- Conformity assessment
- Consent
- Consent Manager
- Contestability
- Copyright and AI training data
- Cost per resolved query
Where you learn it
Bias 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.