Cutting edge strategies for thinking about data science and data ethics through an
intersectional feminist lens.“Without ever finger-wagging, Data Feminism reveals inequities …

A growing body of work shows that many problems in fairness, accountability, transparency,
and ethics in machine learning systems are rooted in decisions surrounding the data …

Data-driven algorithms are studied and deployed in diverse domains to support critical
decisions, directly impacting people's well-being. As a result, a growing community of …

Individuals and communities increasingly depend on, and fill their lives with, machine
cultures, in the form of both interfaces and infrastructures. This global push for machine …

This paper unapologetically reflects on the critical role that Black feminism can and should
play in abolishing algorithmic oppression. Positioning algorithmic oppression in the broader …

Amidst calls for public accountability over large data-driven systems, feminist and
indigenous scholars have developed refusal as a practice that challenges the authority of …

It has become increasingly common to talk about “digital traces”. The idea that we leak, drop
and leave traces wherever we go has given rise to a culture of traceability, and this culture of …

Abstract On February 13, 2020, the Toronto Police Services (TPS) issued a statement
admitting that its members had used Clearview AI's controversial facial recognition …

When tennis star Serena Williams disappeared from Instagram in early September 2017, her
six million followers assumed they knew what had happened. Several months earlier, in …

Since the early days of the internet, there have been questions about how emerging
technologies might one day liberate or further harm communities of color that already face …