*her abstract. My perspective is that we're not trying to build systems with a perfect understanding of bias and historical discrimination, that feels out of reach even for human minds. Rather, the aim of the research is to at least incorporate what we do know about bias and discrimination into the design of ML algorithms. It's also about giving us the theoretical framework needed to think about algorithmical bias, and to analyze and audit existing methods.
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