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Artificial Intelligence in Public Governance

In: Technology and Business Strategy

Author

Listed:
  • Sergey Kamolov

    (Moscow State Institute of International Relations (MGIMO University))

  • Kirill Teteryatnikov

    (ANO Research and Expert Analysis Institute of Vnesheconombank (The Bank for Development and Foreign Economic Affairs))

Abstract

The chapter embraces the analysis of recent trends in artificial intelligence (AI) related to public governance. Governmental bodies across the world are looking to use AI to improve public policy and service deliveries experiencing challenges of digital uncertainty. These technologies are mainly used to automate strictly defined, repeatable tasks, and discuss public decision-making procedures related to various social issues aimed to enhance understanding of current policymaking practices. Those issues nowadays seriously impact all aspects of government practices. AI is playing a crucial role in the public sector: spanning from understanding public and social needs in managing traffic flows and maintaining public transportation system to helping police services to manage their data and citizens to communicate with local government. The authors believe that in the context of slowdown in the world economy, AI development may play a significant role in boosting labor productivity, ensuring GDP growth and general communication at the federal, regional, and municipal levels, creating opportunities for new digital business strategies. This initiative will require reliable measurement tools aligned with the strategic goals and objectives of the national AI strategy.

Suggested Citation

  • Sergey Kamolov & Kirill Teteryatnikov, 2021. "Artificial Intelligence in Public Governance," Springer Books, in: Igor Stepnov (ed.), Technology and Business Strategy, edition 1, chapter 0, pages 127-135, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-63974-7_9
    DOI: 10.1007/978-3-030-63974-7_9
    as

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