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Algorithms and Decision-Making in the Public Sector
- Source :
- Annual Review of Law and Social Science, Vol. 17 (2021)
- Publication Year :
- 2021
-
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.
- Subjects :
- Computer Science - Computers and Society
Subjects
Details
- Database :
- arXiv
- Journal :
- Annual Review of Law and Social Science, Vol. 17 (2021)
- Publication Type :
- Report
- Accession number :
- edsarx.2106.03673
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1146/annurev-lawsocsci-041221-023808