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The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...
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The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...
Persistent link: https://www.econbiz.de/10012479502
allows the training data to exhibit a wide range of "biases." Prevailing wisdom is that biased data change how the algorithm …, when the social planner builds the algorithm, her equity preference has no effect on the training procedure. So long as the … objective function for the algorithm designer and a model of their information sets and interaction. We build such a model that …
Persistent link: https://www.econbiz.de/10012481694
The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...
Persistent link: https://www.econbiz.de/10012893120
The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...
Persistent link: https://www.econbiz.de/10012893456