Exposing Ground Truth Illusion in Annotations
Literature review critiques 'ground truth' in ML data annotation as a positivistic fallacy ignoring human subjectivity. Analyzes 346 papers from top venues revealing biases like anchoring and geographic hegemony. Proposes roadmap for pluralistic infrastructures embracing disagreement.





