Modeling the Social Consequences of Industrial Robotization

A. Tikhonova
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引用次数: 2

Abstract

The article examines the issues of predicting the negative consequences of automation of business processes for the population. The author presents the controversial context of the results of robotization, on the one hand, manifested in the aggregate economic and technological growth, on the other hand, in the reduction of employment. As a research methodology, the authors used the author’s approach based on modeling socioeconomic processes in Russia by extrapolating the average results of robotization across the world to domestic experience. To calculate the indicators, official statistics from Rosstat and the International Federation of Robotics were used. The analysis results were determined pursuant to the pessimistic scenario and have specific quantitative estimates. They show a significant increase in the gender-sensitive unemployment rate. The paper notes as negative the consequences of the further social stratification of the population by income levels, and substantiates its reasons. In the final part of the research, a conclusion is made about the need for government intervention in regulating the consequences of robotization, and the main vectors of such regulation are set. The scientific novelty of the research consists in the development of the author’s methodology for modeling the social consequences of the industrial production robotization, as well as assessing such consequences in relation to the Russian Federation.
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工业机器人化的社会后果建模
本文探讨了预测业务流程自动化对人口的负面影响的问题。作者提出了机器人化结果的有争议的背景,一方面表现在经济和技术的总体增长上,另一方面表现在就业的减少上。作为一种研究方法,作者采用了作者基于俄罗斯社会经济过程建模的方法,将世界各地机器人化的平均结果外推到国内经验。为了计算这些指标,使用了俄罗斯国家统计局和国际机器人联合会的官方统计数据。分析结果是根据悲观情景确定的,并有具体的定量估计。数据显示,对性别问题敏感的失业率显著上升。本文指出了收入水平对人口的进一步社会分层的负面影响,并证实了其原因。在研究的最后一部分,我们得出了政府干预的必要性,以规范机器人化的后果,并设定了这种监管的主要载体。该研究的科学新颖性在于作者对工业生产机器人化的社会后果建模的方法的发展,以及评估与俄罗斯联邦有关的这种后果。
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