An Empirical Study on Group Fairness Metrics of Judicial Data
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DOI: 10.1109/access.2021.3122443
Abstract: Group fairness means that different groups have an equal probability of being predicted for one aspect. It is a significant fairness definition, which is conducive to maintaining social harmony and stability. Fairness is a vital… read more here.
Keywords: group fairness; empirical study; study group; fairness ... See more keywords
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation
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DOI: 10.1109/tkde.2024.3424906
Abstract: Group-fair recommendation aims at ensuring the equality of recommendation results across user groups categorized by sensitive attributes (e.g., gender, occupation, etc.). Existing group-fair recommendation models traditionally employ original user embeddings for both training and testing,… read more here.
Keywords: group fairness; group; fair recommendation; sensitive attributes ... See more keywords
Formal Group Fairness and Accuracy in Automated Decision Making
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DOI: 10.3390/math11081771
Abstract: Most research on fairness in Machine Learning assumes the relationship between fairness and accuracy to be a trade-off, with an increase in fairness leading to an unavoidable loss of accuracy. In this study, several approaches… read more here.
Keywords: automated decision; fairness accuracy; group fairness; decision making ... See more keywords