A Human-Centered Review of Algorithms used within the U.S. Child Welfare System
A Human-Centered Review of Algorithms used within the U.S. Child Welfare System
复制标题
对美国儿童福利系统中使用的算法进行以人为本的审查
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Shion Guha
中科院分区：
文献类型：
--
作者：
Devansh Saxena;Karla A. Badillo;P. Wisniewski;Shion Guha
美国儿童福利系统（CWS）负责改善寄养青少年的结果；然而，他们负担过重，资金不足。为了克服这一限制，一些州已经转向算法决策系统，以降低成本并确定改善CWS结果的更好流程。使用以人为中心的算法设计方法，我们综合了50篇同行评审的关于CWS中使用的计算系统的出版物，以评估它们是如何开发的，所使用的预测因子的共同特征，以及目标结果。我们发现，大多数文献都集中在风险评估模型上，但没有考虑到理论方法（例如，儿童-寄养父母匹配），也没有考虑到个案工作者的观点（例如，案例记录）。因此，未来的算法应该努力通过纳入过去研究确定的显著因素来实现上下文感知和理论上的鲁棒性。我们为HCI社区提供研究途径，以开发以人为中心的算法，将注意力转向更公平的CWS结果。
The U.S. Child Welfare System (CWS) is charged with improving outcomes for foster youth; yet, they are overburdened and underfunded. To overcome this limitation, several states have turned towards algorithmic decision-making systems to reduce costs and determine better processes for improving CWS outcomes. Using a human-centered algorithmic design approach, we synthesize 50 peer-reviewed publications on computational systems used in CWS to assess how they were being developed, common characteristics of predictors used, as well as the target outcomes. We found that most of the literature has focused on risk assessment models but does not consider theoretical approaches (e.g., child-foster parent matching) nor the perspectives of caseworkers (e.g., case notes). Therefore, future algorithms should strive to be context-aware and theoretically robust by incorporating salient factors identified by past research. We provide the HCI community with research avenues for developing human-centered algorithms that redirect attention towards more equitable outcomes for CWS.
DOI：
10.1257/aer.p20151023
发表时间：
2015-05
期刊：
The American economic review
影响因子：
--
作者：
Kleinberg J;Ludwig J;Mullainathan S;Obermeyer Z
通讯作者：
Obermeyer Z
影响因子：
3.3
作者：
Mackenzie MJ;Kotch JB;Lee LC
通讯作者：
Lee LC