The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …

The explosion of data-driven applications using Artificial Intelligence (AI) in recent years has
given rise to a variety of ethical issues regarding data collection, annotation, and processing …

A new way of thinking about data science and data ethics that is informed by the ideas of
intersectional feminism. Today, data science is a form of power. It has been used to expose …

Artificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live
and are transforming our societies. The promise of efficient, low‐cost, or “neutral” solutions …

We live in a world in which Google's search algorithms determine how we access
information, Facebook's News Feed algorithms shape how we socialize, and Netflix …

This article responds to recent debates in critical algorithm studies about the significance of
the term “algorithm.” Where some have suggested that critical scholars should align their …

Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

How to analyze data settings rather than data sets, acknowledging the meaning-making
power of the local. In our data-driven society, it is too easy to assume the transparency of …

This article considers the issue of opacity as a problem for socially consequential
mechanisms of classification and ranking, such as spam filters, credit card fraud detection …

Financial services organisations facilitate the movement of money worldwide, and keep
records of their clients' identity and financial behaviour. As such, they have been enlisted by …