AI 공정성, 알고리즘 아닌 데이터 신뢰 점수 프레임워크가 결정한다

This article reframes AI fairness as fundamentally a data quality problem rather than an algorithmic one, presenting a 7-dimensional data trust framework that quantifies dataset reliability across accuracy, completeness, timeliness, bias risk, traceability, compliance, and contextual clarity. As AI systems increasingly replace human judgment in critical decisions, data governance becomes the key control point for preventing automated inequality at scale.