Recent scholarship has brought attention to the fact that there often exist multiple models for
a given prediction task with equal accuracy that differ in their individual-level predictions or …

Advances in big data and artificial intelligence (AI), including machine learning (ML) and
other cognitive computing technologies (CCT), have facilitated the development of human …

“Algorithmic audits” have been embraced as tools to investigate the functioning and
consequences of sociotechnical systems. Though the term is used somewhat loosely in the …

This essay explores the relationship between artificial intelligence and principles of
distributive justice. Drawing upon the political philosophy of John Rawls, it holds that the …

Ridehailing applications that collect mobility data from individuals to inform smart city
planning predict each trip's fare pricing with automated algorithms that rely on artificial …

In widely used sociological descriptions of how accountability is structured through
institutions, an “actor”(eg, the developer) is accountable to a “forum”(eg, regulatory …

Fairness-aware learning aims at satisfying various fairness constraints in addition to the
usual performance criteria via data-driven machine learning techniques. Most of the …

Algorithmic tools have become increasingly common in a variety of social domains like
consumer finance, housing, employment, and criminal law enforcement. For example, in the …

Automated employment decision tools use machine learning, artificial intelligence,
predictive analytics, and other data-driven approaches to enhance candidate experiences …

Selection decision makers are inundated with information from which to make decisions
about the suitability of a job candidate for a position. Although some of this information is …