Artificial intelligence: Mythologies of social studies

Artur A. Dydrov
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Abstract

Introduction. The social integration of complex technologies is constantly accompanied by the mythologization of innovations and the creation of special discourses that function on the basis of secondary semiotic systems. Traditionally, the trend is associated with philistine (user) discursive practices. The hypothesis of the study is that mythologization is a complex process that takes place not only within the boundaries of non-professional communities, but also in the scientific world. Theoretical analysis. The technological mythology originated in the West in the context of the social sciences and has a predominantly empirical research background. Today several variations of the conceptualization of mythology in relation to technologies have been developed, which need to be significantly supplemented and refined. Empirical analysis. The general research method is the content analysis of the Scopus scientific database in the field of social sciences. The focus was on the topic of artificial intelligence as the main convergent technology. The reference base includes scientific papers for the decade (2010–2020), united by the theme, the subject and keywords. Conclusion. Research practices in the field of artificial intelligence have almost 60 years of history, which allows us to compare the results of analytics in the future, identify genetic patterns and features of scientific discourse, contrast the results of the analysis of Western content and Russian one, by identifying key discursive specifications.
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人工智能:社会研究的神话
介绍。复杂技术的社会整合不断伴随着创新的神话化和基于次级符号学系统的特殊话语的创造。传统上,这种趋势与庸俗(用户)话语实践有关。该研究的假设是,神话化是一个复杂的过程,不仅发生在非专业社区的边界内,也发生在科学界。理论分析。技术神话起源于西方社会科学背景下,具有以实证研究为主的研究背景。今天,与技术有关的神话概念化的几种变体已经发展起来,需要大量补充和完善。实证分析。一般的研究方法是对社会科学领域的Scopus科学数据库进行内容分析。会议的焦点是作为主要融合技术的人工智能。参考文献库包括近十年(2010-2020年)的科学论文,按主题、学科和关键词统一。结论。人工智能领域的研究实践已有近60年的历史,这使我们能够通过识别关键话语规范来比较未来的分析结果,识别科学话语的遗传模式和特征,对比西方内容和俄罗斯内容的分析结果。
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