AINeutralarXiv – CS AI · 7h ago6/10
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Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation
Researchers introduce Individual Fairness-aware Strategic Classification (IFSC), a framework addressing how agents manipulate features when machine learning models prioritize individual fairness. Unlike existing approaches assuming independent agent behavior, IFSC models peer-driven manipulation where agents imitate nearby positively-decided peers, using robust learning to handle uncertainty in peer observability.