Bias Audit
A bias audit is a structured technical and statistical review that tests whether an AI system's outputs differ systematically across protected or sensitive groups — for example, whether a credit-scoring model approves applicants at different rates by postcode as a proxy for demographic factors. It is a required or expected control in most enterprise AI governance frameworks for any system involved in a consequential decision about a person.
Primarily affects
The Governance dimension of the Australian Enterprise AI Index.
See where this shows up in the Index
The open methodology explains exactly how each dimension is scored and weighted.
Definitions are written for enterprise AI governance context, not a formal legal standard. Suggest a correction →