Governance & Compliance · Software component

Secure Multiparty Fairness Auditor

Software componentGovernance & ComplianceSafety, Security & Governancearc:SecureMultipartyFairnessAuditor

A privacy-preserving fairness auditor that uses secure multiparty computation protocols so that multiple parties jointly compute fairness metrics revealing only the final aggregates.

Responsibility. Jointly computes aggregate fairness metrics over parties' private inputs.

Variant of Privacy-Preserving Fairness Auditor abstract

When to choose. Choose when parties must jointly compute aggregate fairness metrics while no party may learn any other party's demographic data or predictions, accepting cryptographic overhead.

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Direct neighbourhood (hover for relationship types)

Relationships

alternative to variability

Classification

Patterns
Secure multiparty computation

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.