Semantic Scholar Open Access 2025

METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS

Marharyta Chabanna

Abstrak

This article emphasizes the critical importance of public administration effectiveness during a full-scale war, highlighting the capacity of government to respond efficiently to security challenges, maintain public order, and provide essential public services. Such effectiveness is vital for the resilience of the political system and the maintenance of citizens' trust. The author notes that evaluating governance effectiveness under these conditions requires flexible approaches that account for the unique wartime context, institutional capacity constraints, and the necessity of decision-making under extraordinary resource mobilization. Based on a review of assessment methodologies and general principles of public administration effectiveness (such as the Worldwide Governance Indicators, Bertelsmann Transformation Index, Sustainable Governance Indicators, Global Competitiveness Index, Prosperity Index, Bureaucracy Index, International Civil Service Effectiveness Index, Open Government Index, European Quality of Government Index, and others) the article demonstrates that a combination of international models (WGI, OECD-frameworks, SIGMA), adapted to Ukraine’s national context, is most relevant. Special attention is given to the application of innovative technologies – machine learning and big data analytics – as tools to enhance the accuracy, timeliness, and transparency of monitoring public administration effectiveness. The article also describes the use of artificial intelligence by Ukrainian governmental bodies, including the Ministry of Digital Transformation, Ministry of Finance, National Anti-Corruption Bureau, National Agency on Corruption Prevention, State Tax Service, National Health Service, Ministry of Education and Science, and State Employment Service. Highlighting the advantages of AI integration, the author underscores its role in improving objectivity, precision, and responsiveness in evaluation processes, automating large-scale data processing, and countering misinformation. The article concludes by emphasizing that the effectiveness of such integration depends on the regulatory framework, development of digital competencies, establishment of ethical guidelines, and public monitoring platforms. In this regard, the study stresses the necessity of balancing international standards with Ukraine’s specific socio-political realities, particularly the challenges of governance under conditions of ongoing aggression. It also emphasizes that the development of adaptive and context-sensitive evaluation frameworks is not only a methodological but also a strategic task for strengthening democratic resilience. At the same time, the article highlights that the long-term effectiveness of governance assessment in Ukraine will depend on the institutionalization of innovative tools, the strengthening of cooperation with international partners, and the inclusiveness of evaluation processes. Together, these factors create a foundation for both post-war recovery and sustainable democratic transformation.

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M

Marharyta Chabanna

Format Sitasi

Chabanna, M. (2025). METHODOLOGY FOR ASSESSING THE EFFECTIVENESS OF PUBLIC ADMINISTRATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN UKRAINE UNDER MARTIAL LAW CONDITIONS. https://doi.org/10.26565/2220-8089-2025-48-02

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.26565/2220-8089-2025-48-02
Akses
Open Access ✓