Artificial intelligence: concept, management decision-making capabilities, regulatory models

Abstract

The article notes that there are three main options for the legal regulation of artificial intelligence. Firstly, these are models of “soft” legal regulation, which are a set of norms that are advisory in nature. The second group of models of regulation in the field of artificial intelligence is called “rigid”, since its content consists of legal norms fixed exclusively in laws and other regulatory legal acts. The third group of the model of legal regulation in the field of AI is called “mixed”, it is characterized by the fact that it uses both recommendatory norms of public organizations and binding and prohibiting norms of law emanating from the state. The paper says that Russia has followed the first path by adopting a Code of Ethics in the field of artificial Intelligence. The main reasons for the adoption of this Code are identified, the “pros” and “cons” of the model of legal regulation in the field of artificial intelligence chosen in Russia are identified. The possible risks of such regulation are indicated. It is concluded that it is impossible to create an optimal model used in states with different legal systems without taking into account their peculiarities. However, the same model in one legal system can work productively, and in another system, it will cause serious failures, or act perfectly, only up to a certain point, after which it will need to be modernized, or completely changed.