Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition. (arXiv:2205.10049v1 [cs.CV])

The increasing amount of applications of Artificial Intelligence (AI) has led
researchers to study the social impact of these technologies and evaluate their
fairness. Unfortunately, current fairness metrics are hard to apply in
multi-class multi-demographic classification problems, such as Facial
Expression Recognition (FER). We propose a new set of metrics to approach these
problems. Of the three metrics proposed, two focus on the representational and
stereotypical bias of the dataset, and the third one on the residual bias of
the …

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