Participant Data on Algorithmic Bias in Decision-Making

该数据集来自363名参与者在一项对照实验中的数据，该实验旨在研究带有偏见的AI推荐对人类在招聘决策中判断的影响。收集的人口统计数据包括年龄和性别，并且已经应用了质量控制程序以确保数据完整性。最终清洗后的数据集包含了294名具有特定分组分配的参与者。研究任务包括调查参与者与AI推荐的契合度、报告的信任度以及在决策过程中的自信心。

This dataset is derived from data collected from 363 participants in a controlled experiment investigating the impact of biased AI recommendations on human judgment in hiring decisions. Collected demographic data includes age and gender, and quality control procedures have been applied to ensure data integrity. The final cleaned dataset contains 294 participants with specific group assignments. The study tasks include evaluating participants' alignment with AI recommendations, self-reported trust levels, and self-confidence during the decision-making process.