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Feb, 2020
子集选择中的多样性与包容度度量
Diversity and Inclusion Metrics in Subset Selection
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Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson...
TL;DR
本研究提出了一种基于多种伦理概念（如公平性、多样性和包容性）的度量方法，以解决子集选择问题，并给出了人类实验结果支持该方法。同时，社会选择方法可以用于聚合和选择首选集合。
Abstract
The ethical concept of
fairness
has recently been applied in
machine learning
(ML) settings to describe a wide range of constraints and objectives. When considering the relevance of
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