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Global Pathways to Hybrid Intelligence: Comparative Analysis of International AI Governance

Author

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  • Haris Alibašić

    (University of West Florida, Department of Business Administration)

Abstract

This chapter provides a comparative analysis of hybrid intelligence implementations across leading international jurisdictions, examining how diverse governance traditions, technological capabilities, and cultural contexts shape the integration of AI into municipal administration. The research identifies three governance models: the Nordic participatory model emphasizing citizen-centric design through Norway’s Kommune-Kari platform, Sweden’s AI Council, Denmark’s regulatory sandboxes, and Finland’s AuroraAI; the East Asian efficiency model prioritizing technological integration through Japan’s Society 5.0, South Korea’s smart city pilots, and Singapore’s Smart Nation initiative achieving significant citizen satisfaction; and the Gulf state transformation model characterized by massive capital investment in Dubai, Abu Dhabi, and Saudi Arabia’s NEOM. Estonia’s X-Road interoperability platforms, enabling digital service delivery, demonstrate the possibilities of post-Soviet transformation. Despite divergent governance structures, successful implementations share common characteristics: meaningful human oversight, transparent algorithmic processes, graduated automation, and continuous adaptation. The analysis demonstrates the applicability of the hybrid intelligence framework across diverse contexts, while emphasizing that effective adaptation requires understanding both international successes and the distinctive features of American federalism.

Suggested Citation

  • Haris Alibašić, 2026. "Global Pathways to Hybrid Intelligence: Comparative Analysis of International AI Governance," Public Administration and Information Technology,, Springer.
  • Handle: RePEc:spr:paitcp:978-3-032-28086-2_6
    DOI: 10.1007/978-3-032-28086-2_6
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