This article surveys the use of algorithmic systems to support decision-making in the public sector. Governments adopt, procure, and use algorithmic systems to support their functions within several contexts-including criminal justice, education, and benefits provision-with important consequences for accountability, privacy, social inequity, and public participation in decision-making. We explore the social implications of municipal algorithmic systems across a variety of stages, including problem formulation, technology acquisition, deployment, and evaluation. We highlight several open questions that require further empirical research.
CITATION STYLE
Levy, K., Chasalow, K. E., & Riley, S. (2021). Algorithms and Decision-Making in the Public Sector. Annual Review of Law and Social Science. Annual Reviews Inc. https://doi.org/10.1146/annurev-lawsocsci-041221-023808
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