Data protection challenges in the era of AI:Case study of Macedonia

Abstract

In recent years artificial intelligence (AI) technologies have experienced exponential growth. This technology is associated with the collection and processing of a vast amounts of data, so there is complex challenges related to the way that the data are collected, processed and used; and the data privacy, primarily personal data. The researches related to the data protection faces with the challenges of balancing the need for large-scale data processing with the imperative to safeguard personal data. Ethical principles, codes and rules in AI implies undertaking a large number of activities, from in-depth analysis of the current state of play and prediction of negative consequences, to thorough development and definition of them. Very often public debates about these tools and systems are the next steps that need to be taken before approaching the process of creating legal standards as part of public policies for their design, development and use. Despite the enormous efforts to act quickly in the field of protection when using AI, there is an evident gap in monitoring and analyzing the evolution of personal data protection in the context of AI which has not been completed. The efforts are mainly focused on creating strategies and legal regulation for AI, and legal reforms in almost all areas where AI is used. However, some countries lag behind in the basic steps related to the regulation of AI and especially data processing and personal data protection. This paper presents the current state of play in the RN Macedonia related to the data protection regulation in the field of AI. As a method of research are used on-desk document and web page analysis. This paper will shed light on the problems faced by developing countries in which novelties always occur with a delay, and especially their regulation.