Can Digital Governance Training Harmonize Civil Servants’ Perceptions of AI Decision-Making? A Pre and Post-Test Design
Bibliographic Data
| ID | 12839192 |
|---|---|
| Authors | Hsini Huang (0000-0001-7546-1096, Hague Institute for Global Justice, corresponding author), Don‐yun Chen (0000-0003-4896-1524, National Chengchi University), Yuhan Chen (0009-0001-8510-3935, National Chengchi University) |
| Year | 2025 |
| Volume | 31 |
| Issue | 1 |
| Pages | 61-80 |
| Publication date | 2025-09-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.1177/15701255251375826 |
| OpenAlex | W4414629903 |
| Language | EN |
| References cited | 73 |
Successful AI adoption and implementation in public organizations require new technological readiness and recalibration of civil servants’ attitudes and perceptions toward AI. This study utilizes a pretest-posttest survey design to assess the impact of digital governance training on Taiwanese civil servants’ perceptions of AI discretion, specifically examining perceptions of legality, efficiency, and fairness. Findings of this research identify diverse AI attitudes among public employees—optimistic, pessimistic, doubtful, and pragmatic—and assess how these attitudes influence their views on AI's legitimacy. Digital governance training serves as a strategic tool to recalibrate civil servants’ perceptions, particularly effective in mitigating pessimistic views. However, it can also intensify existing beliefs. Optimists tend to view AI's efficiency more positively post-training, whereas doubters become more skeptical about its legality. Overall, the findings suggest that training variably impacts civil servants’ perceptions of AI, highlighting that while it is not a quick remedy, it is a critical tool in managing and shaping administrative attitudes toward AI
Civil society · Corporate governance · Perception · Pessimism · Skepticism · Training (meteorology · Blockchain Technology Applications and Security · Ethics and Social Impacts of AI · Regulation and Compliance Studies
Street-Level Bureaucracy and E-Government
Risk and Innovation
Viewpoint
Automation and discretion
The management of bias and noise in public sector decision-making
The complexities of digitization and street-level discretion
Implementing AI in the public sector
More than a digital system
AI governance in the public sector
A Closer Look at What Goes Wrong
Hybrid Data Competencies for Municipal Civil Servants
Artificial Intelligence and Public Human Resource Management
AI and bureaucratic discretion
In AI we trust? Perceptions about automated decision-making by artificial intelligence
Artificial Discretion as a Tool of Governance
Machine Intelligence, Bureaucracy, and Human Control
Legitimacy of Algorithmic Decision-Making
A framework of attitudes towards technology in theory and practice
Implications of the use of artificial intelligence in public governance
How and where is artificial intelligence in the public sector going? A literature review and research agenda
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Street-Level Bureaucrats and Ethical Conflicts in Service Provision to Sex Workers
Will Algorithms Blind People? The Effect of Explainable AI and Decision-Makers’ Experience on AI-supported Decision-Making in Government
Resisting by workarounds
AI adoption and diffusion in public administration
Opportunities and challenges of digitized discretionary practices
Mapping the challenges of Artificial Intelligence in the public sector
A public value perspective for ICT enabled public sector reforms
Overcoming barriers to digital government
Techno-optimism and policy-pessimism in the public sector big data debate
Artificial Intelligence, Discretion, and Bureaucracy
The Concept of Regime Values
Understanding the micro‐foundations of administrative corruption in the public sector
Just like I thought’
From Street‐Level to System‐Level Bureaucracies
Of Bureaucrats and Passionate Public Managers
The effect of human versus automated interaction on willingness to participate in government programs
Political Control, Bureaucratic Discretion, and Public Commenting on Agency Regulations
Bureaucratic Discretion or Congressional Control? Regulatory Policymaking by the Federal Trade Commission
What makes public sector innovations survive? An exploratory study of the influence of feedback, accountability and learning
The forthcoming Artificial Intelligence (AI) revolution
Raising Productivity in Higher Education
The singularity is near
Fiction and Imagination
Bureaucracy and Democracy
Accountable Artificial Intelligence
Carl J. Friedrich on Responsibility and Authority
Interpreting Performance Information
The Administrative State Revisited
Legitimacy, Institutional Change, and the Politics of Public Administration in Sweden
Characteristics of Innovation and Innovation Adoption in Public Organizations
Measuring Public Service Motivation
Human–AI Interactions in Public Sector Decision Making
The Trouble with Algorithmic Decisions
The Study of Administration
Three Scenarios for the Future of Technology and Strong Democracy
| Citation velocity | historical |
|---|---|
| Highly cited | No |