Agentic AI Reference Architecture

Governance & Compliance · Software component

Federated Fairness Auditor

Software componentGovernance & ComplianceSafety, Security & Governancearc:FederatedFairnessAuditor

A privacy-preserving fairness auditor that combines locally computed fairness statistics from multiple institutions into global fairness metrics without centralizing raw records.

Responsibility. Aggregates institution-local fairness statistics into cross-institutional fairness metrics.

Variant of Privacy-Preserving Fairness Auditor abstract

When to choose. Choose when several institutions (hospital networks, bank consortia) individually lack the data volume or diversity for statistically powerful bias detection but cannot centralize raw data.

receives data fromspecializesis target of alternativeToalternative toBias Evaluator: receives data fromBias EvaluatorPrivacy-Preserving Fairness Auditor: specializesPrivacy-Preserving Fairn…Differentially Private Fairness Auditor: is target of alternativeToDifferentially Private F…Secure Multiparty Fairness Auditor: alternative toSecure Multiparty Fairne…
Direct neighbourhood (hover for relationship types)

Relationships

receives data from dynamic

alternative to variability

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Federated learning

Sources

  1. Ch9.4: T. Nguyen, "Fairness and Bias Mitigation," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.4. ISBN: 9798244538229.