Measuring Model-Induced Discrimination via Efficient Fairness Approximation
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Providing various machine learning (ML) applications in the real world, concerns about discrimination hidden in ML models are growing, particularly in high-stakes domains. Existing techniques for assessing the discrimination level of ML models include commonly... ...
