Agentic AI Reference Architecture

Governance & Compliance · Human role

Fairness Auditor

Human roleGovernance & ComplianceSafety, Security & Governancearc:FairnessAuditor

A member of a diverse review team (affected-community representatives, domain experts, ethicists) who qualitatively reviews model outputs and flagged features for bias that metrics miss.

Responsibility. Identifies subtle, contextual, cultural and intersectional bias through expert human review.

Also known as: Qualitative auditor, Diverse review team, Fairness specialist

auditsreceives escalation fromevaluatesauditsreceives data fromAudit Log Store: auditsAudit Log StoreFairness Monitor: receives escalation fromFairness MonitorPredictive Decision Model: evaluatesPredictive Decision ModelFairness Audit Report: auditsFairness Audit ReportProxy Feature Detector: receives data fromProxy Feature Detector
Direct neighbourhood (hover for relationship types)

Relationships

receives data from dynamic

receives escalation from dynamic

audits assurance

evaluates assurance

Design guidance

Classification

Patterns
Qualitative auditingDiverse team composition
Quality attributes
Fairness (NIST AI RMF: fair, harmful bias managed)Transparency and accountability (NIST AI RMF: accountable and transparent)
Risks mitigated
Subtle stereotyping and differential interpretation missed by metricsCultural insensitivity in global deploymentsNovel bias patterns not anticipated at design

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.
  2. Ch10.5: T. Nguyen, "Human-over-the-Loop," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.5. ISBN: 9798244538229.
  3. Ref9.02: "Responsible AI and Ethical Principles," unpublished reference note (02-Responsible-AI-Ethical-Principles.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note