Many policies allocate harms or benefits that are uncertain in nature: they produce distributions over the population in which individuals have different probabilities of incurring harm or benefit. Comparing different policies thus involves a comparison of their corresponding probability...

Designing technical systems to be resistant to bias and discrimination represents vital new terrain for researchers, policymakers, and the anti-discrimination project more broadly. We consider bias and discrimination in the context of popular online dating and hookup platforms in the United...

Platforms that connect users to one another have flourished online in domains as diverse as transportation, employment, dating, and housing. When users interact on these platforms, their behavior may be influenced by preexisting biases, including tendencies to discriminate along the lines of...

A recent wave of research has attempted to define fairness quantitatively. In particular, this work has explored what fairness might mean in the context of decisions based on the predictions of statistical and machine learning models. The rapid growth of this new field has led to wildly...

Purpose – The purpose of the present paper is to investigate how methods from statistics, natural language processing, information theory, and other scientific fields can be brought to bear on account reconciliation. Practically, the goal is to reduce the number of labor hours it takes to...

The term automated decision making refers to many kinds of systems that vary in how they are designed and used. The normative questions raised by automated decision making—indeed, the very legitimacy of automation—depend critically on these details. In this paper, we focus on one prominent...

Purpose – The purpose of the present paper is to investigate how methods from statistics, natural language processing, information theory, and other scientific fields can be brought to bear on account reconciliation. Practically, the goal is to reduce the number of labor hours it takes to...