Artificial intelligence in governance process: Georgian and Belgian examples.

Abstract

This research was supported by Shota Rustaveli National Science Foundation of Georgia (SRNSFG) [YS-21-2606]Although the term Artificial Intelligence (AI) has been around since the 50s of the last century and carried a different meaning than today, it has become very relevant in the last decade. In the last century, scientists working on artificial intelligence research tried to create a mechanism that could think like a human. However, this idea did not find development, and the enthusiasm for AI research faded over time. However, in the 21st century, technological developments led to a new form of this field coming alive. Artificial intelligence (AI) has seen unprecedented growth in recent years, with businesses and governments investing heavily in research and development to harness the power of AI. This paper aims to compare the results of AI research conducted in Georgia and Belgium and analyze the different approaches taken to AI implementation.The Georgian National Scientific Foundation funded the research, which involved a comprehensive analysis of the AI landscape in Georgia and Belgium. The study employed various methods, including literature reviews, surveys, interviews, and case studies, to collect data on AI adoption in the two countries. The research also analyzed government policies and strategies related to AI implementation, funding sources, and collaborations between industry and academia. The research results showed that Georgia and Belgium have made significant progress in AI implementation. However, the approaches taken by the two countries differ in many ways. In Georgia, AI implementation is primarily driven by the private sector, with tech startups leading in developing innovative AI solutions. The government has also launched various initiatives to promote AI adoption, including funding for AI research and development, tax incentives for AI companies, and AI training programs.In contrast, Belgium has taken a more centralized approach to AI implementation, with the government playing a prominent role in promoting AI adoption. The Belgian government has launched several initiatives to promote AI development, including creating a national AI strategy and establishing AI research centers. The government has also invested heavily in AI research and development, collaborating with industry and academia to drive innovation.The research also revealed that the two countries differ in the areas of AI application. In Georgia, AI implementation is primarily focused on e-commerce, logistics, and finance, with AI solutions being developed to improve customer service, automate logistics operations, and enhance fraud detection. In contrast, Belgium has a more diverse range of AI applications, with solutions being developed for healthcare, manufacturing, transportation, and agriculture.The research findings highlight the importance of a multifaceted approach to AI implementation. While government support is essential in promoting AI adoption, private-sector innovation and collaboration between industry and academia are equally important. The study also emphasizes the need for a flexible and adaptable approach to AI implementation, with solutions tailored to specific industries and use cases.In conclusion, this research provides valuable insights into the approaches taken to AI implementation in Georgia and Belgium. While the two countries have made significant progress in AI adoption, there are notable differences in the approaches taken and the areas of AI application. The findings of this study can be used to inform policymakers and stakeholders in other countries seeking to promote AI adoption and drive innovation in this rapidly evolving field.