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Artificial Intelligence And Public Governance Models In Socioeconomic Welfare: Some Insights From Slovenia

Author

Listed:
  • Eva MURKO

    (Young Researcher, University of Ljubljana, Faculty of Public Administration, Gosarjeva ulica 5, 1000 Ljubljana, Slovenia and University of Rijeka, Faculty of Economics and Business, Ulica Ivana Filipovica 4, 51 000 Rijeka, Croatia)

  • Matej BABŠEK

    (Research Assistant PhD, University of Ljubljana, Faculty of Public Administration, Gosarjeva ulica 5, 1000 Ljubljana, Slovenia)

  • Aleksander ARISTOVNIK

    (Professor PhD, University of Ljubljana, Faculty of Public Administration, Gosarjeva ulica 5, 1000 Ljubljana, Slovenia)

Abstract

This paper investigates the adoption of artificial intelligence (AI) in public governance and its impact on socioeconomic welfare, focusing on Slovenian Social Work Centres (SWCs). The objectives are to assess how AI applications align with governance models such as (Neo)Weberian Bureaucracy, New Public Management (NPM), and Good Governance, and to evaluate their effectiveness in promoting socioeconomic welfare. Furthermore, the study aims to identify opportunities and risks associated with AI in public governance and to provide policy recommendations for the ethical and effective integration of AI. A mixed-methods approach is adopted, comprising a comprehensive literature review to develop a theoretical framework, a cross-tabulation analysis of the European Commission's dataset of 686 AI use cases in 27 EU Member States, and a case study of AI implementation in Slovenian SWCs. This includes the analysis of administrative data from 2018–2022 on the e-Welfare platform and analysis of reports from Slovenian oversight bodies such as the Court of Audit, the Administrative Inspection, and the Human Rights Ombudsman. The results show that AI significantly improves administrative efficiency, particularly in the areas of resource management, cost-effectiveness, and service quality, which closely align with NPM principles. However, challenges remain in terms of transparency and accountability, as AI systems are often not transparent, making oversight difficult and jeopardising public trust, especially in the area of social welfare. The study concludes that while AI has significant potential to improve public governance, appropriate regulation and human oversight are essential to mitigate risks and ensure compliance with governance principles. The study provides valuable insights into the role of AI in administrative efficiency and is therefore relevant to policymakers, public officials, and researchers aiming to leverage AI's benefits while ensuring ethical governance and equitable socioeconomic outcomes.

Suggested Citation

  • Eva MURKO & Matej BABŠEK & Aleksander ARISTOVNIK, 2024. "Artificial Intelligence And Public Governance Models In Socioeconomic Welfare: Some Insights From Slovenia," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2024(43), pages 41-60.
    • Handle: RePEc:rom:rampas:v:2024:y:2024:i:43:p:41-60
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    References listed on IDEAS

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    1. Dellepiane-Avellaneda, Sebastian, 2010. "Review Article: Good Governance, Institutions and Economic Development: Beyond the Conventional Wisdom," British Journal of Political Science, Cambridge University Press, vol. 40(1), pages 195-224, January.
    2. Acemoglu, Daron & Johnson, Simon & Robinson, James & Thaicharoen, Yunyong, 2003. "Institutional causes, macroeconomic symptoms: volatility, crises and growth," Journal of Monetary Economics, Elsevier, vol. 50(1), pages 49-123, January.
    3. Walaa ELSAYED & Nicoletta BASKIEWICZ & Nagwa Babiker Abdalla YOUSIF & Vitaliy BORISOV, 2021. "Job Satisfaction Of Public Social Workers," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2021(36), pages 134-148, June.
    4. Armenia ANDRONICEANU, 2024. "Artificial Intelligence In Administration And Public Management," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2024(42), pages 99-114.
    5. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
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    Keywords

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    JEL classification:

    • L38 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Public Policy
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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