Understanding how algorithmic injustice leads to making discriminatory decisions: An obedience to authority perspective
通过122名管理者的实验，发现算法不公直接导致歧视性决策，且决策者不会感到更多内疚；对数据分析结果的信任会加剧这种影响。
Unjust algorithmic recommendations can lead decision makers to discriminatory choices, risking harm to individuals or groups. This study addresses this concerning phenomenon and examines its implications. In an experimental study involving 122 managers, we found that algorithmic injustice causes discriminatory decisions without heightened guilt perception. Additionally, trust in data analytics outcomes moderates the impact of algorithmic injustice on discrimination and marginally influences the impact of discriminatory decision making on guilt perception. However, displacement of responsibility has no moderating effect on either relationship. These findings highlight the potential negative consequences of algorithmic decision making, showing a need for caution and awareness.