AINeutralarXiv – CS AI · 5h ago6/10
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Detecting and Mitigating Bias by Treating Fairness as a Symmetry Operation
Researchers propose a novel framework that treats algorithmic bias as a symmetry-breaking problem, using loss-based regularization to enforce fairness constraints. The approach achieves over 90% violation reduction with minimal accuracy trade-offs while remaining computationally lightweight and not requiring causal graph knowledge.
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