Tag: attributes
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Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation arXiv:2509.08163v1 Announce Type: cross Abstract: Ensuring equitable treatment (fairness) across protected attributes (such as gender or ethnicity) is a critical issue in machine learning. Most existing literature focuses on binary classification, but achieving fairness in regression tasks-such as insurance pricing or hiring score assessments-is equally…
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Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics arXiv:2505.06435v1 Announce Type: new Abstract: AI fairness, also known as algorithmic fairness, aims to ensure that algorithms operate without bias or discrimination towards any individual or group. Among various AI algorithms, the Fair Representation Learning (FRL) approach has gained significant interest in…