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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.
Dr. Haris Alibašić is a Professor and Whitman Faculty Fellow in the Department of Business Administration, Public Administration Program at the University of West Florida's Lewis Bear Jr. College of Business, where he teaches ethics, capstone, political economy, strategic management, leadership, resilience planning, public budgeting and finance, and public administration courses to doctoral, graduate, and undergraduate students. He brings nearly three decades of professional and academic expertise spanning governance, strategic planning, artificial intelligence ethics, cybersecurity, and public policy.
Dr. Alibašić's international work includes NATO, the United Nations Mission, and the Office of the High Representative in Bosnia and Herzegovina, where he contributed to post-conflict governance reform and institutional capacity-building. In 2022, as a Fulbright Specialist through the U.S. Department of State, he advised the Republic of Kosovo's Prime Minister and the Office of Strategic Planning on national development strategy, energy assessment, and governance frameworks. Before his academic career, he also served as the Legislative and Strategic Planning Director for the City of Grand Rapids, Michigan, under three mayors and two city managers, and taught as a senior adjunct & visiting faculty at Davenport, Central Michigan, and Grand Valley State universities.
His scholarship comprises more than 60 publications, including five books and over 35 peer-reviewed journal articles appearing in Public Administration Review, Sustainable Development, Energy Research & Social Science, Public Integrity, Global Public Policy and Governance, Public Money & Management, and FinTech, among others. His research focuses on hybrid intelligence, AI governance and ethics, organizational resilience, and sustainability in the public sector. He has been recognized as one of the top-ranked global researchers in sustainability and local government research. Dr. Alibašić holds a Ph.D. in Public Policy and Administration from Walden University, where he received the doctoral scholarship for commitment to social change, and a Master's in Public Administration (MPA) and a Bachelor's in Business Administration (BBA) in international business and marketing from Grand Valley State University, where he received scholarships in international business and public administration.
| Publication Date: | 22 July 2026 |
| Publisher: | Springer Nature Switzerland |
| Imprint: | Springer |
| ISBN-13: | 9783032280855 |
| Format: | Hardback |
| Page Count: | 309 |