ARTIFICIAL INTELLIGENCE IN PUBLIC ADMINISTRATION: GOVERNANCE, ETHICS, AND DECISION-MAKING
Abstract
This study explores the transformative role of Artificial Intelligence (AI) in public administration, focusing on the dimensions of governance, ethics, and decision-making. As governments increasingly adopt AI-driven systems to enhance efficiency and transparency, critical questions arise regarding accountability, algorithmic bias, and the preservation of public trust. Using a comprehensive literature review method, this paper synthesizes findings from prior studies published in reputable international journals to examine how AI reshapes administrative processes and ethical frameworks. The analysis identifies emerging patterns in governance innovation, the ethical dilemmas of data-driven decision-making, and the evolving role of human oversight in automated environments. It further highlights the dual nature of AIas a tool for improving public service delivery and as a potential source of ethical complexity. Through comparative and thematic synthesis, this study contributes to a deeper understanding of how AI technologies influence policy formulation and institutional integrity. The paper underscores the need for adaptive governance models capable of balancing innovation with ethical responsibility in the era of intelligent public administration.
References
Babšek, M., Ravšelj, D., Umek, L., & Aristovnik, A. (2025). Artificial intelligence adoption in public administration: An overview of top-cited articles and practical applications. AI, 6(3), 44.
Boell, S. K., & Cecez-Kecmanovic, D. (2015). On Being 'Systematic' in Literature Reviews in IS. Journal of Information Technology, 30(2), 161–173. https://doi.org/10.1057/jit.2014.26
Bryson, J. J., Diamantis, M. E., & Grant, T. D. (2017). Of, for, and by the people: The legal lacuna of synthetic persons. Artificial Intelligence, 242, 51–57.
Bryson, J. M., Crosby, B. C., & Bloomberg, L. (2014). Public Value Governance: Moving Beyond Traditional Public Administration and the New Public Management. Public Administration Review, 74(4), 445–456. https://doi.org/10.1111/puar.12238
Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press. https://doi.org/10.2307/j.ctv1ghv45t
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., … Vayena, E. (2018). AI4PeopleAn ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Madan, R., & others. (2023). AI adoption and diffusion in public administration: tensions in implementation. Government Information Quarterly.
Martin, K. (2019). Ethical Implications and Accountability of Algorithms. Journal of Business Ethics, 160(4), 835–850. https://doi.org/10.1007/s10551-018-3921-3
Mehr, H. (2019). Artificial Intelligence for Citizen Services and Government. Harvard Kennedy School.
Mergel, I., Edelmann, N., & Haug, N. (2019). Defining Digital Transformation: Results from Expert Interviews. Government Information Quarterly, 36(4), 101385.
Misuraca, G., & van Noordt, C. (2020). AI Watch – Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU. Publications Office of the European Union. https://doi.org/10.2760/039619
Misuraca, G., & van Noordt, C. (2020). AI Watch – Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU. Publications Office of the European Union.
OECD. (2025). AI in public service design and delivery: Governing with artificial intelligence. OECD report.
Snyder, H. (2019). Literature Review as a Research Methodology: An Overview and Guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Sun, T. Q., & Medaglia, R. (2019). Mapping the challenges of artificial intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly, 36(2), 368-383. https://doi.org/10.1016/j.giq.2018.09.008
Swales, J. M. (1990). Genre Analysis: English in Academic and Research Settings. Cambridge University Press.
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial Intelligence and the Public SectorApplications and Challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103
Wuttke, A., Rauchfleisch, A., & Jungherr, A. (2025). Artificial Intelligence in Government: Why People Feel They Lose Control. arXiv preprint arXiv:2505.01085.
Young, M. M., Bullock, J. B., & Lecy, J. D. (2019). Artificial discretion as a tool of governance: A framework for understanding the impact of artificial intelligence on public administration. Perspectives on Public Management and Governance, 2, 301-313. https://doi.org/10.1093/ppmgov/gvz014
Young, M. M., Bullock, J. B., & Lecy, J. D. (2019). Artificial intelligence and the public sector: Applications and challenges. Public Administration Review, 79(6), 933–942.
Zuiderwijk, A., Chen, Y.-C., & Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 38(3), Article 10157
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