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Информационная безопасность несовершеннолетних в аспекте функционирования цифровой образовательной среды
The processes of digitalization of various relations, the transition to the data economy raise questions related to the transformation of the current legal regulation by developing new and optimizing existing legal regimes in the field of data. Of particular importance are the relations in which big data is processed or circulated. In this case, new challenges arise in the field of privacy, information security, intellectual property protection, innovation development, etc. The purpose of the article is to study various types of legal regimes of big data, especially generally permissive, permissive and binding, and to determine the directions of development of legislation in relation to various types of legal regimes of Big Data. When writing the article, both general scientific and private methods were used: analysis and synthesis, induction and deduction, systematization, comparative legal, historical methods. The study of the types of legal regimes depending on legal means will allow us to determine the possible nearest necessary directions for changing domestic legislation in areas related to the processing and circulation of big data. In particular, the directions for the development of a generally permissive legal regime of big data in terms of promoting the development of big data turnover, the need for clear regulation of data that must be open are defined. In legal relations that must be regulated by the rules of the permissive regime, the area of intellectual property and the problems of using data protected by copyright for training artificial intelligence systems are highlighted. Criteria for determining the good faith use of such data are proposed. In the area of the binding legal regime of data, issues of ensuring information security when combining various data sets, relations in the field of ensuring protection from discrimination due to profiling are considered.