This is an extended analysis of our paper "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions," which looks at racial disparities in the Allegheny Family Screening Tool, an algorithm used to help child welfare workers decide which families the Allegheny County child welfare agency (CYF) should investigate. On April 27, 2022, Allegheny County CYF sent us an updated dataset and pre-processing steps. In this extended analysis of our paper, we show the results from re-running all quantitative analyses in our paper with this new data and pre-processing. We find that our main findings in our paper were robust to changes in data and pre-processing. Particularly, the Allegheny Family Screening Tool on its own would have made more racially disparate decisions than workers, and workers used the tool to decrease those algorithmic disparities. Some minor results changed, including a slight increase in the screen-in rate from before to after the implementation of the AFST reported our paper.
翻译:这是对我们题为“儿童福利工作者如何减少在等级决定中的种族差异”的文件的扩大分析,该文件审视了Allegheny家庭筛选工具中的种族差异,这是一种用于帮助儿童福利工作者决定Allegheny县儿童福利机构(CYF)应调查哪些家庭,2022年4月27日,Alegheny县儿童福利机构(CYF)向我们发送了最新的数据集和预处理步骤。在对我们的论文的这一扩大分析中,我们展示了用新的数据和预处理方式在我们的文件中重新进行所有定量分析的结果。我们发现,我们文件中的主要结论对数据和预处理的改变是强有力的。特别是,Alegheny家庭筛选工具本身会作出比工人更多的种族差异性决定,而工人则利用这一工具来减少这些算法差异。一些微小的结果有所改变,包括从以前到执行AFST报告我们的文件之后的屏幕率略有提高。