most citedTowards Resource Efficient and Interpretable Bias Mitigation in Large Language Models

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cs.HC2026

Measuring Perceptions of Fairness in AI Systems: The Effects of Infra-marginality

Schrasing Tong, Minseok Jung, Ilaria Liccardi +1

Differences in data distributions between demographic groups, known as the problem of infra-marginality, complicate how people evaluate fairness in machine learning models. We pres…