LAION-Aesthetics Predictor reinforces Western and male biases by preferentially selecting images associated with women and realistic Western/Japanese art while excluding men, LGBTQ+ references, and other styles.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Label-diff congruence between PR labels and file modifications is prevalent (46.6% perfect) and stable in Kubernetes, predicting fewer review participants for core developers but more for one-time contributors.
citing papers explorer
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The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor
LAION-Aesthetics Predictor reinforces Western and male biases by preferentially selecting images associated with women and realistic Western/Japanese art while excluding men, LGBTQ+ references, and other styles.
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Efficiency for Experts, Visibility for Newcomers: A Case Study of Label-Code Alignment in Kubernetes
Label-diff congruence between PR labels and file modifications is prevalent (46.6% perfect) and stable in Kubernetes, predicting fewer review participants for core developers but more for one-time contributors.