Compliance of Artificial Intelligence Georgian Legal Framework with European Standards

Abstract

Artificial intelligence is considered the most important technological achievement of the 21st century. Although the term was coined as early as 1956 at Dartmouth College in America, AI (Artificial Intelligence) has emerged in the modern world in a new form and meaning over the past decade. In the 1950s, scientists came together to create a mechanism that could imitate human thinking. This period is considered the first spring of AI technology when the scientific and economic interests of the whole world were focused on researching this phenomenon. However, as it became clear after some time, the idea of creating a mechanism that thinks like a human was not realistic, which was followed by AI winter. In the 21st century, artificial intelligence is gaining new importance. Along with the development of digital and Internet technologies, the data of Internet users grew exponentially in the virtual space, the processing of which would make it possible for the companies owning data to get valuable information.  The development of artificial intelligence has, in turn, raised many ethical, legal, political, and economic issues. The international community agreed that with all the good things that this technology offered to the world, regulation of AI was necessary, as expressed by the EU document adopted in December 2023, which limits the processing of certain types of citizens' data by states The research question of the paper is formulated as follows: What are the similarities and differences between the Georgian legislation related to AI and the regulation adopted by the European Union in December 2023? The main goal of this work is to study the mentioned document and establish the main similarities and differences based on the comparative analysis with the Georgian legal framework. To achieve the mentioned goal, a holistic approach will be used within the scope of the research, which includes integrating different research methods. Depending on the focus of the research question, the paper will use qualitative methods, including document analysis, comparative analysis, expert interviews, and case study methods.