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Algorithms and Bias
Abstract
Initially, automated decision-making was seen as a corrective to discrimination: no longer would one biased individual be able to allow his or her prejudices to control decisions about employment, housing, banking, or criminal justice. However, this promise has not been fulfilled. Rather, recent experiences with a variety of platforms and services suggests that algorithms may be reproducing—and in some cases, even amplifying—human biases. This chapter will explore the problem of discriminatory bias in algorithms and propose best practices for minimizing the problem.
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