Bias Audit
Independent assessment of an AI system for discriminatory impact, required under NYC Local Law 144.
Definitions (3)
An impartial evaluation performed by an independent auditor that tests an AEDT for disparate impact on Component 1 categories (race, ethnicity, and sex) and their intersectional categories, and includes calculations of selection or scoring rates and impact ratios across those categories. The audit must report these metrics and justify any excluded categories under the rules.
A bias audit is an impartial evaluation conducted by an independent auditor, including testing an AEDT to assess its disparate impact on persons of any component 1 category (race, ethnicity, and sex) as required by federal law. It aims to identify and mitigate discriminatory outcomes.
An impartial evaluation by an independent auditor to assess an ADT for disparate impact on individuals based on protected characteristics under local, state, and federal anti-discrimination laws, such as race, gender, religion, national origin, disability, and familial status.
Related Terms
Automated Employment Decision Tool (AEDT)
AI system used in hiring or promotion that requires bias audits under NYC Local Law 144....
Disparate Impact
Discriminatory effect of AI systems that disproportionately affects protected groups, even without discriminatory intent....
Third-Party Audit
Independent evaluation of AI system compliance by an accredited external body rather than the provider itself....