人工智能:发展前景与人性化问题

O. Digilina, I. Teslenko, Astghik A. Nalbandyan
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引用次数: 3

摘要

本研究探讨了与人工智能技术在人类活动中的发展和实施以及这些技术的人性化相关的主要问题。从广义上讲,人工智能是一组算法和软件系统,它们可以像人一样解决一些问题,不同之处在于它们可以学习。对引入人工智能技术的问题进行分析,可以证实旨在开发和综合使用数字智能系统的国家政策的主要杠杆。人工智能技术的引进和传播的成功在很大程度上取决于国家在国家和超国家层面对这一领域的监管的有效性。机器学习系统的发展必然包含伦理方面和一些限制,否则智能机器的快速发展可能导致人类文明的崩溃。为了避免这样的事态发展,有必要建立一个超国家的系统来监管人工智能。因此,本文的研究对象是人工智能系统在人类活动各个领域的应用。采用内容分析法、系统分析法、适应性分析法和协同分析法。此外,作者还运用了现代统计学、经验归纳和分组方法。
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The artificial intelligence: Prospects for development and problems of humanization
The research explores the main problems associated with the development and implementation of artificial intelligence technologies in human activities, as well as with the humanization of these technologies. In a broad sense, artificial intelligence is a set of algorithms and software systems that can solve some problems the way a person would do and differ in that they are amenable to learning. An analysis of the problems of introducing artificial intelligence technologies makes it possible to substantiate the main levers of state policy aimed at the development and integrated use of digital intelligent systems. The success of the introduction and dissemination of artificial intelligence technologies largely depends on the effectiveness of state regulation of this sphere, both at the state and supranational levels. The development of machine learning systems must necessarily include an ethical aspect and some restrictions, otherwise the rapid development of intelligent machines can lead to the collapse of human civilization. To avoid such a development of events, it is necessary to create a supranational system for regulating artificial intelligence. Thus, the object of study of this article is the use of artificial intelligence systems in various fields of human activity. The authors use content analysis, systemic, adaptive and synergistic methods. In addition, the authors apply modern statistics, empirical generalization and grouping.
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来源期刊
自引率
0.00%
发文量
34
审稿时长
12 weeks
期刊最新文献
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