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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Adaptive Fairness Improvement Based Causality Analysis, Mengdi Zhang, Jun Sun
Adaptive Fairness Improvement Based Causality Analysis, Mengdi Zhang, Jun Sun
Research Collection School Of Computing and Information Systems
Given a discriminating neural network, the problem of fairness improvement is to systematically reduce discrimination without significantly scarifies its performance (i.e., accuracy). Multiple categories of fairness improving methods have been proposed for neural networks, including pre-processing, in-processing and postprocessing. Our empirical study however shows that these methods are not always effective (e.g., they may improve fairness by paying the price of huge accuracy drop) or even not helpful (e.g., they may even worsen both fairness and accuracy). In this work, we propose an approach which adaptively chooses the fairness improving method based on causality analysis. That is, we choose the …
The Executive’S Guide To Getting Ai Wrong, Jerrold Soh
The Executive’S Guide To Getting Ai Wrong, Jerrold Soh
Asian Management Insights
It’s all math. Really.