What does it mean for a machine learning model to be 'fair', in terms which can be
operationalised? Should fairness consist of ensuring everyone has an equal probability of …

As algorithms increasingly take managerial and governance roles, it is ever more important
to build them to be perceived as fair and adopted by people. With this goal, we propose a …

What is discrimination? There are certain instances of differential treatment that almost
anyone would describe as discriminatory; yet upon deeper examination, this near-unanimity …

In this paper, I examine whether the use of artificial intelligence (AI) and automated decision-
making (ADM) aggravates issues of discrimination as has been argued by several authors …

Private insurance is everywhere. As the primary device to reduce risk of loss and
uncertainty, insurance is one of the most important institutions around us. It provides …

Racial discrimination is a global concern affecting education, including medical programs in
the Netherlands. Covert racial discrimination in academia has been linked to adverse …

Measures of algorithmic bias can be roughly classified into four categories, distinguished by
the conditional probabilistic dependencies to which they are sensitive. First, measures of" …

Discrimination is an important topic. Many disadvantages and disrespectful forms of
treatment endured by individuals result from or amount to discrimination. Not surprisingly …

A frequent caveat in online dating profiles–“No fats, femmes, or Asians”–caused an LGBT
activist to complain about the bias against Asians in the American gay community, which he …

This paper tries to explain why racial profiling involves a serious injustice and to do so in a
way that avoids the problems of existing philosophical accounts. An initially plausible view …