Observability & Evaluation · Software component

Override Rate Monitor

Software componentObservability & EvaluationObservability & Evaluationarc:OverrideRateMonitor

A monitoring component that tracks how often human reviewers override AI recommendations and flags rates indicating automation bias (too low) or poor AI performance or distrust (too high).

Responsibility. Measures override rates as an indicator of healthy human-AI collaboration.

Also known as: Trust calibration metric

Direct neighbourhood (hover for relationship types)

Relationships

reads dependency

Governance Decision Log Ch10.5

monitors assurance

Human Approver Ch10.5

Design guidance

SHOULD treat overrides as evidence of engaged review, not as human error or system failure.
SHOULD distinguish effective oversight from rubber-stamping or reflexive rejection.

Quantitative guidance

As stated by the sources; verify before use.

Modest override rates around 5-15% suggest humans are engaging critically; very low rates may indicate automation bias (Ch10.5).

Classification

Patterns: Override rate as oversight health metric
Quality attributes: Interaction capability (ISO/IEC 25010)Transparency and accountability (NIST AI RMF: accountable and transparent)
Risks mitigated: Automation biasExcessive distrust / underrelianceSymbolic oversight

Sources

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.