In criminal justice systems, credit markets, employment arenas, higher education admissions processes and even social media networks, data-driven algorithms now drive decision-making in ways that touch our economic, social and civic lives. These software systems rank, classify, associate or filter information, using human-crafted or data-induced rules that allow for consistent treatment across large populations. But while there may be efficiency gains from these techniques, they can also harbor biases against disadvantaged groups...
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