Diversity and Inclusion Metrics in Subset Selection

9 Feb 2020Margaret MitchellDylan BakerNyalleng MoorosiEmily DentonBen HutchinsonAlex HannaTimnit GebruJamie Morgenstern

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 ethical concepts to subset selection problems, the concepts of diversity and inclusion are additionally applicable in order to create outputs that account for social power and access differentials... (read more)

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