Data Bricklaying Diary

Sep 18, 2026 · Artificial Intelligence

High-Quality Data Annotation: Business Rules, Expert Disagreements & Arbitration Mechanisms

This article explains how high-quality data annotation requires defining annotation units, business rules, evidence requirements, and rejection criteria, then using double-blind annotation, disagreement classification, expert arbitration, and version governance to ensure correctness, rather than relying solely on inter-annotator agreement metrics.