The Frontiers of Fairness in Machine Learning

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?source: The Frontiers of Fairness in Machine Learning, Chouldechova and Roth (2018)

This paper is a summary on the state of algorithmic fairness research: what we know so far, and what questions are researchers asking. Interesting directions including how to combine statistical and individual notions of fairness, how to ensure fairness in a dynamic environment, and topics such as fair representation learning and bandit learning problem.

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