Data Justice

Kate Crawford maps AI through minerals, energy, hidden labor, training data, classification, and state surveillance, revealing the extraction and concentrated power beneath machine intelligence.

Max Liboiron uses plastic pollution research to show how environmental science can presume access to land, while modeling anticolonial research ethics.

This anthology reads computing through colonialism, gendered labor, corporate power, and material infrastructure, asking what sustains the cloud and whether coding alone can change tech’s inequalities.

It proposes seven practical principles that bring power analysis, intersectionality, situated knowledge, and co-design into data work itself.

Starting from trans airport screening and disability justice, Sasha Costanza-Chock argues for design led by affected communities, placing benefit, ownership, and accountability above expert good intentions.

Ruha Benjamin’s New Jim Code framework shows how racial hierarchy can be engineered, hidden by defaults, intensified through surveillance, or repackaged as a benevolent technical fix.

Kantayya follows Buolamwini’s research to connect facial classification, women’s expertise and public control of technology.

Joy Buolamwini traces algorithmic bias from facial-analysis failures to the institutions that decide what systems see, whom they serve, and who can challenge their use.