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Sep, 2018
算法决策的主动公平性
Active Fairness in Algorithmic Decision Making
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Alejandro Noriega-Campero, Michiel Bakker, Bernardo Garcia-Bulle, Alex Pentland
TL;DR
本研究提出了一种基于主动框架的公平分类方法,通过根据不同群体或个体的需求自适应获取信息来平衡分类性能差异,证明了该方法可以显著优于基于随机化的分类器。
Abstract
Society increasingly relies on
machine learning
models for
automated decision making
. Yet, efficiency gains from automation have come paired with concern for
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