ADMINISTRATIVE RESILIENCE IN THE ERA OF ARTIFICIAL INTELLIGENCE: FROM DIGITALIZATION TO ALGORITHMIC GOVERNANCE

Ana-Maria Bercu Sebastian Avacaritei
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Ana-Maria Bercu Sebastian Avacaritei: Alexandru Ioan Cuza University of Iasi

European Journal of Public Administration Research, 2026, vol. April 2026, 19-40

Abstract: Administrative resilience is undergoing structural transformation under the accelerated integration of digitalization and artificial intelligence (AI) in public administration. This paper examines how the convergence between digital infrastructure and algorithmic governance influences the capacity of public institutions to maintain legally justified and resilient administrative decision-making. The central research question asks to what extent the current normative, governance, and technical frameworks ensure the legal defensibility and operational continuity of administrative decisions in the context of AI deployment. Methodologically, the study applies a mixed doctrinal and analytical approach combining legislative and policy analysis with an evaluation framework based on resilience indicators (prevention, absorption, and recovery capacities), illustrated through selected institutional case studies. The results indicate that Romania has made significant progress in building infrastructural resilience through the government cloud and interoperability systems. However, gaps persist in the institutionalization of algorithmic governance mechanisms, particularly independent audits, standardized impact assessments, and access to technical documentation. The paper concludes that administrative resilience in the AI era depends not only on digital infrastructure but on the systematic integration of accountability, transparency, and audit mechanisms into public governance. These findings support the development of standardized procedures and governance tools to strengthen the legal and operational resilience of public administration in the context of algorithmic decision-making.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:aic:ejpair:y:2026:v:6:p:19-40

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