Algorithmic Long-Term Unemployment Risk Assessment in Use: Counselors’ Perceptions and Use Practices
Algorithmic Long-Term Unemployment Risk Assessment in Use: Counselors’ Perceptions and Use Practices
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使用中的算法长期失业风险评估：咨询师的看法和使用实践
DOI：
10.1525/gp.2020.12908
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Andrew Bell
中科院分区：
文献类型：
--
作者：
Leid Zejnilovic;Susana Lavado;Inigo Martinez;S. Sim;Andrew Bell
最近各学科学者对算法决策的兴趣激增，这与其解决公共部门行政决策常见挑战的潜力有关，例如更大的公平性和平等对待每个人等。然而，算法决策与人类判断相结合可能会带来新的复杂性，其后果尚不清楚。本文提供的证据有助于正在进行的关于算法决策和治理的讨论，并将其置于公共就业服务中。特别是，我们讨论了决策支持系统的使用，该系统采用算法来评估个人成为长期失业的风险，并通知辅导员相应地分配干预措施。我们研究了人类与算法的互动，在这种情况下，使用的镜头，人类脱离和附件的决策。采用混合方法的研究方法，我们显示的复杂性，制定的数据驱动的决策的背景下，公共机构的潜力。
The recent surge of interest in algorithmic decision-making among scholars across disciplines is associated with its potential to resolve the challenges common to administrative decision-making in the public sector, such as greater fairness and equal treatment of each individual, among others. However, algorithmic decision-making combined with human judgment may introduce new complexities with unclear consequences. This article offers evidence that contributes to the ongoing discussion about algorithmic decision-making and governance, contextualizing it within a public employment service. In particular, we discuss the use of a decision support system that employs an algorithm to assess individual risk of becoming long-term unemployed and that informs counselors to assign interventions accordingly. We study the human interaction with algorithms in this context using the lenses of human detachment from and attachment to decision-making. Employing a mixed-method research approach, we show the complexity of enacting the potentials of the data-driven decision-making in the context of a public agency.
影响因子：
21.2
作者：
Kellogg, Katherine C.;Valentine, Melissa A.;Christin, Angele
通讯作者：
Christin, Angele