Ownership of data used in the teaching process of artificial intelligence

In today's technologically rapid society, it is important to pay attention to the modernization of the legal framework and, based on the ex ante principle, to provide a legal framework for the prevention of future legal problems. The aim of the research is to identify the dimensions of data, the role of data in the teaching process of artificial intelligence and data ownership in the stages of the learning process of artificial intelligence. To determine the results the following materials will be analyzed: opinions of the Council of the European Union, the General Data Protection Regulation and case law. An analytical and descriptive method will be used for the research. The analytical method will help to analyze the terms "data", "ownership", "artificial intelligence" and on what principles it is determined, meanwhile, the descriptive method will describe the main ownership principles that would apply to data in the context of artificial intelligence training. By identifying the dimensions of the data, one can conclude that data today is identifiable as a product. On the other hand, "training" of artificial intelligence is not possible without data, moreover, the larger the amount of data used in the "training" process, the more accurately and faster artificial intelligence can operate. The data used in artificial intelligence, as an object of ownership, in the author's opinion is vulnerable. The data subject is not provided with the legal tools to benefit from the further use of his data. Under the General Data Protection Regulation, the data subject has the right to monitor his or her data, but the regulation does not prohibit the processor from commercializing legitimately collected data which does not bring any benefit to the data subject himself.