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September 5, 2025Public Administration

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

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Authors

XFXuemei FangHZHua-Yu ZhouSCShufa CHEN

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Overview

Replication experiment enhances public trust in automated decision-making processes, suggesting procedural justice impacts transparency effectiveness.

Key Points

  • Algorithmic explainability significantly enhances public trust across diverse cultural contexts, and accessibility is crucial for fostering trust.
  • The study reaffirms that algorithmic transparency reduces issues like algorithmic bias and improves accountability in public administration.
  • High-discretion decision contexts exhibit greater effects from algorithm transparency, impacting public perception of automated systems.
  • This research provides empirical support for procedural justice theory and practical guidance on implementing algorithmic transparency.

Cite This Study

Fang et al. (2025) studied this question.

synapsesocial.com/papers/68bb3d552b87ece8dc956099https://doi.org/10.1111/padm.70015
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Is Algorithmic Accessibility Sufficient? The Pivotal Role of Accessibility and Accountability in Shaping Trust in Automated Decision‐Making2025
  2. 2Why does algorithmic transparency matter for policy acceptance? The mediating role of intent attributions under varying organizational reputations2026
  3. 3When officials disagree with AI: public perceptions of bureaucratic discretion in algorithmic governance2026
  4. 4Transparent Governance in an Automated Age: Challenges and Solutions in Public Authorities AI Deployment2025
  5. 5Transparency and Trust in Simple Algorithmic Hiring Procedures2026 · 1 citations