APPLICATION OF ARTIFFICIAL INTELLIGENCE IN THE DEVELOPMENT OF EU STRATEGIES TO STRENGTHEN THE INSTITUTION OF POLITICAL ACCOUNTABILITY

Political accountability is a key element of democratic governance and transparency of state institutions. This is particularly relevant in the context of the implementation of EU standards, which imply increasing transparency, anti-corruption measures, and strengthening democratic principles. The study focuses on the analysis of the effectiveness of EU strategies in strengthening political accountability in member states and candidate countries, such as the Netherlands, Poland, Hungary, Ukraine, and Serbia. The importance of this study is determined by the need to develop effective mechanisms for adapting EU standards in different political contexts. The aim of the research is to study the impact of the implementation of European strategies on political accountability in selected countries, as well as identify the main factors that contribute to or hinder their effective implementation. The study employed the following methods: quantitative analysis to assess changes in political accountability metrics, sociological surveys to determine the level of trust in governments in five countries, comparative analysis to identify differences in the implementation of EU standards between member states and candidate countries, and correlation analysis to assess the relationship between the implementation of European standards and key indicators of political accountability. In addition, the research explores how artificial intelligence (AI) technologies can be applied in the development and monitoring of EU strategies, in particular through data-driven evaluation of public administration, risk modelling, and the identification of political misconduct patterns. The results of the study showed that EU member states demonstrate higher political accountability indicators due to the effective adaptation of European standards. Preliminary findings also suggest that AI-supported tools, such as algorithmic auditing and digital transparency platforms, can strengthen accountability mechanisms by enabling early detection of corruption risks and increasing civic oversight. The Netherlands consistently maintains a high level of democracy and transparency, while Poland and Hungary face certain challenges due to political polarization and centralization of power. Different trends are observed in candidate countries such as Ukraine and Serbia: Ukraine demonstrates gradual progress, while Serbia shows stagnation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-15
DOI
https://doi.org/10.5281/zenodo.18109174
Primary Topic
Corruption and Economic Development
Type
article
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article

APPLICATION OF ARTIFFICIAL INTELLIGENCE IN THE DEVELOPMENT OF EU STRATEGIES TO STRENGTHEN THE INSTITUTION OF POLITICAL ACCOUNTABILITY

Journal of Theoretical and Applied Information Technology
Zenodo (CERN European Organization for Nuclear Research)
Corruption and Economic Development
article

APPLICATION OF ARTIFFICIAL INTELLIGENCE IN THE DEVELOPMENT OF EU STRATEGIES TO STRENGTHEN THE INSTITUTION OF POLITICAL ACCOUNTABILITY

Journal of Theoretical and Applied Information Technology
article en

Abstract

Political accountability is a key element of democratic governance and transparency of state institutions. This is particularly relevant in the context of the implementation of EU standards, which imply increasing transparency, anti-corruption measures, and strengthening democratic principles. The study focuses on the analysis of the effectiveness of EU strategies in strengthening political accountability in member states and candidate countries, such as the Netherlands, Poland, Hungary, Ukraine, and Serbia. The importance of this study is determined by the need to develop effective mechanisms for adapting EU standards in different political contexts. The aim of the research is to study the impact of the implementation of European strategies on political accountability in selected countries, as well as identify the main factors that contribute to or hinder their effective implementation. The study employed the following methods: quantitative analysis to assess changes in political accountability metrics, sociological surveys to determine the level of trust in governments in five countries, comparative analysis to identify differences in the implementation of EU standards between member states and candidate countries, and correlation analysis to assess the relationship between the implementation of European standards and key indicators of political accountability. In addition, the research explores how artificial intelligence (AI) technologies can be applied in the development and monitoring of EU strategies, in particular through data-driven evaluation of public administration, risk modelling, and the identification of political misconduct patterns. The results of the study showed that EU member states demonstrate higher political accountability indicators due to the effective adaptation of European standards. Preliminary findings also suggest that AI-supported tools, such as algorithmic auditing and digital transparency platforms, can strengthen accountability mechanisms by enabling early detection of corruption risks and increasing civic oversight. The Netherlands consistently maintains a high level of democracy and transparency, while Poland and Hungary face certain challenges due to political polarization and centralization of power. Different trends are observed in candidate countries such as Ukraine and Serbia: Ukraine demonstrates gradual progress, while Serbia shows stagnation.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 21%
Corruption and Economic Development
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