Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor by Virginia Eubanks (2018)

Explores the ways in which high-tech tools are used to profile, police, and punish the poor.

Examines how algorithmic decision-making processes can lead to discrimination and exacerbate existing inequalities.

Explores the relationship between poverty and surveillance in the United States.

Investigates how automated decision-making systems are used to determine eligibility for social services.

Examines the consequences of data-driven decision-making on low-income communities.

Analyzes how new technologies have transformed the welfare system.

Provides evidence to support the argument that algorithmic decision-making processes can lead to unfair outcomes.

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