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Algorithms and Decision-Making in the Public Sector
arXiv - CS - Computers and Society Pub Date : 2021-06-07 , DOI: arxiv-2106.03673 Karen Levy, Kyla E. Chasalow, Sarah Riley
arXiv - CS - Computers and Society Pub Date : 2021-06-07 , DOI: arxiv-2106.03673 Karen Levy, Kyla E. Chasalow, Sarah Riley
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.
中文翻译:
公共部门的算法和决策
本文调查了使用算法系统来支持公共部门的决策。政府采用、采购和使用算法系统来支持其在多种情况下的职能——包括刑事司法、教育和福利提供——对问责制、隐私、社会不平等和公众参与决策产生重要影响。我们探索了市政算法系统在各个阶段的社会影响,包括问题制定、技术获取、部署和评估。我们强调了几个需要进一步实证研究的开放性问题。
更新日期:2021-06-08
中文翻译:
公共部门的算法和决策
本文调查了使用算法系统来支持公共部门的决策。政府采用、采购和使用算法系统来支持其在多种情况下的职能——包括刑事司法、教育和福利提供——对问责制、隐私、社会不平等和公众参与决策产生重要影响。我们探索了市政算法系统在各个阶段的社会影响,包括问题制定、技术获取、部署和评估。我们强调了几个需要进一步实证研究的开放性问题。