AI RESEARCH
Investigating Data Interventions for Subgroup Fairness: An ICU Case Study
arXiv CS.LG
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ArXi:2604.03478v1 Announce Type: new In high-stakes settings where machine learning models are used to automate decision-making about individuals, the presence of algorithmic bias can exacerbate systemic harm to certain subgroups of people. These biases often stem from the underlying