What Can Political Philosophy Teach Us about Algorithmic Fairness?

IEEE Security & Privacy(2018)

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摘要
What does it mean for an algorithmic decision-making system to be “fair” or “non-discriminatory” in terms that can be operationalized? Providing a rigorous understanding of these terms has long been a preoccupation of moral and political philosophers. This article draws on such work to elucidate emerging debates about fair algorithms.
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关键词
Decision making,Ethics,Machine learning,Qualifications,Data models,Predictive models,Algorithm design and analysis,Artificial intelligence
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