Reducing the incidence of biased algorithmic decisions through feature importance transparency: an empirical study

IF 7.3 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

European Journal of Information Systems Pub Date : 2024-09-02 DOI:10.1080/0960085x.2024.2395531

Sepideh Ebrahimi, Esraa Abdelhalim, Khaled Hassanein, Milena Head

引用次数: 0

Abstract

As firms move towards data-driven decision-making using algorithmic systems, concerns are raised regarding the lack of transparency of these systems which could have ramifications related to users’...

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通过特征重要性透明度降低算法决策偏差的发生率：实证研究

随着企业开始使用算法系统进行数据驱动决策，人们对这些系统缺乏透明度表示担忧，因为这可能会对用户的隐私造成影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Journal of Information Systems 工程技术-计算机：信息系统

CiteScore

23.10

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： The European Journal of Information Systems offers a unique European perspective on the theory and practice of information systems for a global readership. We actively seek first-rate articles that offer a critical examination of information technology, covering its effects, development, implementation, strategy, management, and policy.