WorkRB is the first open community-driven benchmark for AI in the work domain, organizing 13 tasks from 7 groups with dynamic multilingual ontology loading and modular design for proprietary task integration.
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Secondary bounded rationality describes how AI recruitment algorithms reproduce structural inequality by optimizing for biased proxies of competence drawn from cultural and social capital disparities.
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WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain
WorkRB is the first open community-driven benchmark for AI in the work domain, organizing 13 tasks from 7 groups with dynamic multilingual ontology loading and modular design for proprietary task integration.
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Secondary Bounded Rationality: A Theory of How Algorithms Reproduce Structural Inequality in AI Hiring
Secondary bounded rationality describes how AI recruitment algorithms reproduce structural inequality by optimizing for biased proxies of competence drawn from cultural and social capital disparities.