Public Administration and Information Technology, Springer Nature Switzerland AG
2026
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Abstract
Central government AI ethics data governance public service delivery policy formulation anti-administrative state Artificial Intelligence or Cybernetics Government Studies Public Administration Public Policy
The algorithmic Leviathan has arrived. Artificial intelligence (AI) is already transforming how governments operate, make decisions, and serve citizens, and there is no turning back. The question is no longer whether AI will reshape public administration, but whether that transformation will produce effective governance or institutional failure. Recent federal automation initiatives and AI governance reforms lacked meaningful oversight, transparency, and accountability, most notably in the failed Department of Government Efficiency (DOGE). The result was chaos rather than modernization. Meanwhile, nations such as Singapore, South Korea, Japan, Estonia, Sweden, Norway, and Denmark demonstrate that a different path is possible, one grounded in what this book refers to as hybrid intelligence. Hybrid intelligence offers a dynamic framework for AI governance that maintains accountability, transparency, and ethical safeguards while enabling the proper integration of algorithmic capabilities into public administration. Instead of choosing between unchecked automation and resistance to technological change, hybrid intelligence structures human judgment and machine processing as complementary forces, preventing societal harms while capturing the benefits AI can deliver. Drawing on evidence from federal initiatives, state legislatures, and municipal implementations across more than fifty countries, this book reveals why some AI deployments succeed while others fail catastrophically, and what separates them. Offering practical guidance for policymakers, administrators, educators, and technology leaders, it charts a responsible course for effective governance in an algorithmic age
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Details
Title
Hybrid Intelligence for Effective Digital Governance
Resource Type
Book
Publisher
Springer Nature Switzerland AG; Cham
Series
Public Administration and Information Technology
Number of pages
309
Copyright
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2026
Identifiers
9783032280855; 9783032280886; 99381847422506600
Academic Unit
Business Administration; Lewis Bear Jr. College of Business