理解算法不公正如何导致做出歧视性决定:服从权威的视角

IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information & Management Pub Date : 2024-01-26 DOI:10.1016/j.im.2024.103921
Maryam Ghasemaghaei , Nima Kordzadeh
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引用次数: 0

摘要

不公正的算法建议可能会导致决策者做出歧视性选择,给个人或群体带来伤害风险。本研究探讨了这一令人担忧的现象,并研究了其影响。在一项有 122 名管理人员参与的实验研究中,我们发现算法不公正会导致歧视性决策,但并不会增加内疚感。此外,对数据分析结果的信任会调节算法不公正对歧视的影响,并在一定程度上影响歧视性决策对内疚感的影响。然而,责任转移对这两种关系都没有调节作用。这些发现凸显了算法决策的潜在负面影响,表明有必要保持谨慎并提高认识。
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Understanding how algorithmic injustice leads to making discriminatory decisions: An obedience to authority perspective

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, emphasizing the need for caution and awareness.

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来源期刊
Information & Management
Information & Management 工程技术-计算机:信息系统
CiteScore
17.90
自引率
6.10%
发文量
123
审稿时长
1 months
期刊介绍: Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.
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