AI RESEARCH
SocioEval: A Template-Based Framework for Evaluating Socioeconomic Status Bias in Foundation Models
arXiv CS.CL
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ArXi:2604.02660v1 Announce Type: new As Large Language Models (LLMs) increasingly power decision-making systems across critical domains, understanding and mitigating their biases becomes essential for responsible AI deployment. Although bias assessment frameworks have proliferated for attributes such as race and gender, socioeconomic status bias remains significantly underexplored despite its widespread implications in the real world. We