Artificial Intelligence in Enforcement: Epistemological Analysis

Ovchinnikov, A.I.; Mamychev, A.Y.; Yatsenko, T.S.; Kravchenko, A.; Kolesnikov, Y.A.

Авторы: Ovchinnikov Alexey I., Mamychev Alexey Yu, Yatsenko Tatiana S., Kravchenko Artur, Kolesnikov Yuri A.
Журнал: JOURNAL OF POLITICS AND LAW
Том: 13
Номер: 2
Год издания: 2020
Первая страница: 75
Последняя страница: 81
DOI: 10.5539/jpl.v13n2p75
Аннотация: The presented study examines the epistemological and philosophical and legal problems of the introduction of artificial intelligence systems in law enforcement. The article discusses the problematic implementation and use of artificial intelligence to automate the enforcement process, the judiciary and public administration. It is shown that the latter is considered without taking into account a key factor - the specifics of the intellectual process of bringing the general norm to a particular case. The authors show that for artificial intelligence systems, the contextuality of the principles of law is not achievable, while it is extremely necessary in law enforcement. In AI, contextual intellectual procedures cannot be programmed, since the ratio between the norm and the context of its interpretation involves a break through the hermeneutic circle in which the norm is a part and the context of the norm (industry principles) is a whole. The limited possibilities of using artificial intelligence systems in justice are also discussed, it is proved that digitalization in this area will be only instrumental in nature, and the administrative functions of robotic technologies are quite problematic and generally ineffective in the spiritual, moral and ethical dimension.
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