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A Replication of “Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making”.

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Title: A Replication of “Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making”.
Authors: Fang, Xuemei1 (AUTHOR), Zhou, Huayu2 (AUTHOR) 1710799536@qq.com, Chen, Song3 (AUTHOR)
Source: Public Administration. Aug2025, p1. 21p. 7 Illustrations.
Subject Terms: *ALGORITHMIC bias, *EMPIRICAL research, *PUBLIC administration, PROCEDURAL justice, SOCIAL context, PUBLIC support
Abstract (English): ABSTRACT With the advancement of artificial intelligence, algorithms are transforming the operations of the public sector. However, lack of algorithm transparency may result in issues such as algorithmic bias and accountability challenges, ultimately undermining public trust. Based on the principles of replication experiments and procedural justice theory, this study conducted a replication of Grimmelikhuijsen in a Chinese context. The replication reaffirmed Grimmelikhuijsen's core findings that algorithmic explainability enhances public trust, thus demonstrating its potential to foster trust across cultural contexts. Unlike the original research, the results indicated that accessibility remains important for fostering trust. The impact of transparency varies across decision contexts, with greater effects in high‐discretion situations. By replicating Grimmelikhuijsen, the current research not only provides new empirical support for procedural justice theory, but it also offers practical insights into configuring algorithmic transparency within a public administration context. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 摘要 随着人工智能的发展，算法正深刻改变公共部门的运行方式。然而，算法透明度的缺失可会带来算法歧视和问责困难等问题从而削弱公众信任。基于复制实验原则与程序公正理论，本文在中国情境下复现了 Grimmelikhuijsen 的研究。复现实验再次验证了其核心结论，即算法可解释性有助于提升公众信任，显示该效应的跨文化稳健性。不同于原研究，本文发现“可获得性”在促进信任方面仍具有重要作用。算法透明度的影响在不同决策情境中呈现差异，高裁量情境下的效应更为显著。通过对 Grimmelikhuijsen 的复现，本研究不仅为程序公平理论提供了新的实证支持，也为在公共管理实践中如何配置算法透明度提供了现实启示。. [ABSTRACT FROM AUTHOR]
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Database: Business Source Index
Description
Abstract:ABSTRACT With the advancement of artificial intelligence, algorithms are transforming the operations of the public sector. However, lack of algorithm transparency may result in issues such as algorithmic bias and accountability challenges, ultimately undermining public trust. Based on the principles of replication experiments and procedural justice theory, this study conducted a replication of Grimmelikhuijsen in a Chinese context. The replication reaffirmed Grimmelikhuijsen's core findings that algorithmic explainability enhances public trust, thus demonstrating its potential to foster trust across cultural contexts. Unlike the original research, the results indicated that accessibility remains important for fostering trust. The impact of transparency varies across decision contexts, with greater effects in high‐discretion situations. By replicating Grimmelikhuijsen, the current research not only provides new empirical support for procedural justice theory, but it also offers practical insights into configuring algorithmic transparency within a public administration context. [ABSTRACT FROM AUTHOR]
ISSN:00333298
DOI:10.1111/padm.70015