Unfair treatment by automated computational systems

This dataset describes the results from a prescreened survey of 663 participants describing their experiences with unfair treatment caused by automated computational systems. After cleaning, the dataset contains a list of 620 participant quotes and their demographics in an Excel spreadsheet. 

The data describes experiences by users who are faced with automated decisions, strategies for harm reduction, and perceptions of fairness and discrimination. The data also includes questions on participants' self-perceived technical literacy, and several demographic questions. Participants have been anonymised.

Participants were recruited through research recruitment platform Prolific, and oversampled for "at-risk characteristics" (see paper). The data excludes 9 participants who failed at least one attention check, and 24 participants who did not finish the survey.

The DOI of the accompanying research paper is https://doi.org/10.1145/3555546.

The dataset can be shared on request for 12 months after the end of the study (30 June 2022) in accordance with participant consent and EPSRC guidelines.

本数据集详述了663名受访者因自动化计算系统导致的不公平待遇的调研结果。经过清洗后，数据集包含了一份包含620位受访者引述及其人口统计学信息的Excel电子表格。数据描述了面临自动化决策的用户体验、风险降低策略以及对于公平性与歧视的看法。数据还包括了关于受访者自我感知的技术素养问题以及多个人口统计学问题。受访者已匿名处理。参与者通过研究招募平台Prolific招募，并对“风险特征”进行了超额抽样（详见论文）。数据排除了至少未通过一项注意力检测的9名参与者，以及未完成调查的24名参与者。相关研究论文的DOI为https://doi.org/10.1145/3555546。在获得参与者同意和EPSRC指南的指导下，本数据集可在研究结束后12个月内（至2022年6月30日）共享。