Artificial Intelligence in the Future Law Enforcement Officers Training System

O.A. Galustyan, A. G. Solomatina
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Abstract

In this article, taking into account the latest scientific achievements in the development of artificial neural networks, the problem concerning the process of obtaining knowledge by future law enforcement officers in the context of the transition to other previously unknown methods and forms of artificial intelligence implementation, including in the educational process, is identified. Based on the analysis of the epistemological essence of knowledge and asking questions: how and what should be taught to future lawyers, what knowledge and skills they will need in the future, the authors offer their own interactive educational methods for obtaining knowledge at a higher level. To solve the identified tasks and achieve the goal, using general scientific and private methods of cognition, the article analyzes the opinions of scientists who support the positive dynamics of education with the use of artificial intelligence technologies, and opponents of this concept. Based on the results of scientific research and their own pedagogical experience, the authors criticize the process of education in which it is proposed to maximize the use of artificial intelligence, replacing the teacher and teacher, since students receive information without using the capabilities and abilities of the human brain, ignoring many effective methods of cognition, which negatively affects the assimilation of information, obtaining new knowledge and developing independent skills. The authors defend the position that in the process of education, a synergy of artificial and natural intelligences is necessary, otherwise many of a person’s cognitive abilities may be lost. Based on the conducted research, it is concluded that in the era of modern times, completely different standards and principles of education are needed. And, despite all the effectiveness of using artificial intelligence technologies, the task of teachers, first of all, is to teach future law enforcement officers to develop their own intelligence, their personal cognitive abilities.
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未来执法人员培训系统中的人工智能
在本文中,考虑到人工神经网络发展的最新科学成果,在过渡到其他以前未知的人工智能实施方法和形式的背景下,包括在教育过程中,确定了未来执法人员获取知识的过程中的问题。作者在分析知识的认识论本质的基础上,提出了对未来律师应该如何教育、教些什么、未来律师需要什么知识和技能等问题,提出了自己的更高层次知识获取的互动教育方法。为了解决确定的任务并实现目标,使用一般的科学和私人的认知方法,文章分析了支持使用人工智能技术进行积极动态教育的科学家和反对者的观点。基于科学研究的结果和自身的教学经验,作者批评了在教育过程中提出最大限度地利用人工智能来代替教师和教师,因为学生在没有使用人类大脑的能力和能力的情况下接受信息,忽视了许多有效的认知方法,这对信息的同化,获得新知识和发展独立技能产生了负面影响。作者认为,在教育过程中,人工智能和自然智能的协同作用是必要的,否则一个人的许多认知能力可能会丧失。根据所进行的研究,得出的结论是,在现代时代,需要完全不同的教育标准和原则。而且,尽管使用人工智能技术很有效,但教师的任务,首先是教未来的执法人员发展他们自己的智能,他们的个人认知能力。
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