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the algorithm’s inputs? To answer these questions, we propose a model in which a designer chooses an algorithm that maps … for how to trade off accuracy and fair- ness), and identify simple statistical properties of the algorithm’s inputs that …Algorithms are increasingly used to guide decisions in high-stakes contexts, such as who should receive bail, be …
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Recent advances in machine learning methods have created opportunities to eliminate unfairness from algorithmic decision making. Multiple computational techniques (i.e., algorithmic fairness criteria) have arisen out of this work. Yet, urgent questions remain about the perceived fairness of...
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