Algorithms and Decision-Making in the Public Sector
Annual Review of Law and Social Science, Vol. 17 (2021)
38 Pages Posted: 17 Jun 2021 Last revised: 1 Jul 2021
Date Written: June 7, 2021
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.
Keywords: algorithms, technology, government, policy, prediction, accountability
JEL Classification: O33, H7
Suggested Citation: Suggested Citation