Replication Data for: Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment

aihuman is an R package which provides statistical methods for analyzing experimental evaluation of the causal impacts of algorithmic recommendations on human decisions developed by Imai, Jiang, Greiner, Halen, and Shin (2023) . The data used for this paper, and made available here, are interim, based on only half of the observations in the study and (for those observations) only half of the study follow-up period. We use them only to illustrate methods, not to draw substantive conclusions.

aihuman 是一款R语言工具包（R package），由Imai、Jiang、Greiner、Halen及Shin（2023）研发，旨在提供统计方法以分析算法推荐对人类决策因果影响的实验评估。本文所使用且在此公开的数据集为阶段性数据，仅采用了研究中的半数观测样本，且针对这些观测样本仅覆盖了研究随访周期的一半时长。本团队仅使用该数据集演示相关统计方法，而非用于得出实质性研究结论。