AI RESEARCH

Strategic Costs of Perceived Bias in Fair Selection

arXiv CS.LG

ArXi:2510.20606v2 Announce Type: replace-cross Meritocratic systems, from admissions to hiring, aim to impartially reward skill and effort. Yet persistent disparities across race, gender, and class challenge this ideal. Some attribute these gaps to structural inequality; others to individual choice. We develop a game-theoretic model in which candidates from different socioeconomic groups differ in their perceived post-selection value--shaped by social context and, increasingly, by AI-powered tools offering personalized career or salary guidance.