Glossary
Bias Audit
Systematic evaluation of agent decision-making to identify unfair treatment or discriminatory outcomes based on protected characteristics or unintended factors.
What is Bias Audit?
Bias audits examine agent outputs for disparate impact across demographic groups, proxy discrimination through correlated features, and systematic errors favoring particular populations. Methods include statistical testing, counterfactual analysis, and outcome comparison across subgroups. Regular auditing is increasingly required by regulation.
Effective audits require representative test data, clear fairness metrics, and remediation processes for identified biases. Challenges include defining fairness in context, accessing demographic data for analysis, and distinguishing legitimate correlations from discriminatory patterns.
Example
A hiring agent undergoes quarterly bias audits analyzing acceptance rates across gender and racial groups, with statistical tests ensuring no significant disparate impact and counterfactual analysis verifying individual decisions aren't influenced by protected characteristics.
How Signet addresses this
Signet integrates bias audit results into compliance scoring, rewarding agents with verified fairness. The platform can facilitate third-party audits through standardized data exports and audit trail access.
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