This paper investigates how intersectional critical theoretical concepts from social sciences
and humanities research can be worked with in machine learning systems design. It does so …

We live in an age of artificial intelligence. Machines think and act in ever more complex
ways, making suggestions and decisions on our behalf. While AI might be seen as practical …

Researchers, practitioners, and policymakers with an interest in AI ethics need more
integrative approaches for studying and intervening in AI systems across many contexts and …

Prior work has explicated the coloniality of artificial intelligence (AI) development and
deployment through mechanisms such as extractivism, automation, sociological …

Data ethics and fairness have emerged as important areas of research in recent years.
However, much work in this area focuses on retroactively auditing and “mitigating bias” in …

Research and activism have increasingly denounced the problematic environmental record
of the infrastructure and value chain underpinning artificial intelligence (AI). Water-intensive …

This article delves into the intricate dynamics of air datafication as matters of care within the
distinctive context of air quality data politics in Poland. It focuses on the implementation of …

The stigmatized nature of nonsuicidal self-injury may render TikTok, a short-form, video-
sharing social media platform, appealing to individuals who engage in this behavior. Since …

Digital tools, such as safety apps, reporting portals, and chatbots, are increasingly being
used by victim-survivors of gender-based violence to report unlawful activity and access …

In this special issue, we ask: What do we see when we look at datafied societies through the
lens of care? Following the footsteps of feminist writers, activists, and academics who take …