Algorithms and Decision-Making in the Public Sector

• URL: http://arxiv.org/abs/2106.03673v2
• Date: Thu, 10 Jun 2021 02:33:35 GMT
• Title: Algorithms and Decision-Making in the Public Sector
• Authors: Karen Levy, Kyla Chasalow, Sarah Riley
• Abstract summary: Governments adopt, procure, and use algorithmic systems to support their functions within several contexts. We explore the social implications of municipal algorithmic systems across a variety of stages.
• Score: 0.6101839518775968
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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.

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