However, the majority of racial bias research rarely contains underlying details about how racial groups are determined or how racial bias evaluation metrics are designed. Both the distribution of data on pre-defined racial groups and how we measure the bias play a major role in the results The underlying reasons for such disparate results are summarised into two categories by. Racial Groupings: Although the definition of race carries a large amount of complexity and ambiguity, an increasing number of studies adopt various racial groupings and show performance disparities among them. *Casual Conversations dataset provides videos. Table 1: Publicly available face datasets for different types of facial analysis tasks and their grouping strategies to address racial bias. Middle Eastern, Southeast Asian, and White He also discusses how race-conscious social policies may fail to address racial bi- StudyĪsian, Black, Indian, Others (like Hispanic, Racial Appearance Bias: Maddox explains racial appearance bias as a negative disposition toward phenotypic variations in facial appearance.
Lightroom 6.2 facial recognition verification#
Potentially protected attributes or ill-defined grouping strategies.įurthermore, we contribute corresponding phenotype attribute category labelsįor two face recognition tasks: RFW for face verification and VGGFace2 (test That phenotype-based groupings uncover hidden bias without reliance upon any Phenotype-based grouping methodology with previous grouping strategies and show We proposeĬategorical test cases to investigate the individual influence of thoseĪttributes on bias within face recognition tasks. Human face and correlated to the racial profile of the subject. Individual face where a race-related facial phenotype is hence specific to the We use the set of observable characteristics of an By contrast, this study introduces anĪlternative racial bias analysis methodology via facial phenotype attributesįor face recognition. Group definitions has disadvantages for bias investigation and subsequentĬounter-bias solutions design. Groups based on either demographic information (e.g. Underlying findings of such racial bias analysis. The definition of those racial groups has a significant impact on the Recent work reports disparate performance for intersectional racial groupsĪcross face recognition tasks: face verification and identification. Measuring Hidden Bias within Face Recognition via Racial Phenotypes
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