Bias in Labeling: The Hidden Gap Between Observation and Action
Introduction: The Question Matters More Than the Answer In the second stage of our pipeline analysis, we face a subtle but dangerous source of bias: Outcome Definition. We often assume that labeling data is a neutral task—simply identifying what is in an image or a chart. But AI development often falls into a trap known […]