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Intersectional Fairness: A Fractal Approach
The problem can be approached by looking at different protected attributes (e. g., ethnicity, gender, etc) independently, but fairness for individual protected attributes does not imply intersectional fairness.
Uncovering Bias in Face Generation Models
The contribution of this work is a novel analysis covering architectures and embedding spaces for fine-grained understanding of bias over three approaches: generators, attribute modifier, and post-processing bias mitigators.
Local Law 144: A Critical Analysis of Regression Metrics
The use of automated decision tools in recruitment has received an increasing amount of attention.
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