Data JusticeBooks

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.

Drawing on experience as both programmer and journalist, Meredith Broussard dismantles the belief that technology is always the best answer and maps the limits between computation, judgment, and public responsibility.

Safiya Umoja Noble begins with the stigmatization of Black girls in commercial search to expose how advertising markets, platform monopoly, and knowledge classification produce algorithmic oppression.

Investigating welfare, homeless housing, and child protection, Virginia Eubanks shows how automation disguises austerity as neutral efficiency and subjects poor people to continuous surveillance.

Cathy O’Neil explains how scoring, prediction, and risk models amplify existing inequalities across work, education, finance, and policing.