| Abstract [eng] |
The rapid development of algorithmic – artificial intelligence (AI) technologies is opening new opportunities for transparency, managing corruption risks and dealing with corruption impacts. There are no studies on this topic in Lithuania; meanwhile, international literature features prominent scholars who explore the benefits, risks, and potential applications of AI in improving the anti corruption landscape. This study examines the application of algorithmic tools to strengthen the anti corruption environment - their use, possible challenges and potential. The empirical study analyzed 27 EU countries (68 open data information sources), conducted 12 semi-structured interviews (2 of them group interviews, with a total of 16 participants) with AI researchers and practitioners working on strengthening the anti-corruption environment. Through desk analysis, the results show that algorithmic solutions are widely used in the EU in a variety of areas such as public procurement, financial sector and to reduce the burden of bureaucracy. The qualitative research has provided a baseline of successful applications, as well as an indication of the risks involved and the conditions 3 necessary for the effective integration of these technologies. The study indicates that while the adoption of algorithmic technologies to improve the anti-corruption environment in Lithuania remains slow, some tools are already contributing to enhancing the work of professionals. The most commonly used tool is generative AI, while higher risk systems in Lithuania are still in the early stages of development. The analysis of the interviews also highlights key gaps in the public sector: lack of knowledge, finances, professionals and motivation. The data collected becomes the basis for formulating evidence-based recommendations for targeted innovation development in the Lithuanian public sector. |
