Using Artificial Intellect Systems to Attain Goals of Sustainable Development

Author:

Barinova N. V.1,Barinov V. R.2

Affiliation:

1. Plekhanov Russian University of Economics

2. Moscow Polytechnic University

Abstract

At the current stage of social and economic relation development elaboration of artificial intellect technologies plays the key role and principle goals of sustainable development, where state policy of the Russian Federation is targeted, are connected with these systems. The article analyzed basic problems in the field of artificial intellect essential for reaching sustainable development goals. The authors provided examples of introducing artificial intellect tools to resolve problems of sustainable development presented by Russian and overseas researchers in recent years. The key content of the article is made by analyzing the current standing of artificial intellect in different aspects. The authors highlighted industries, where systems of artificial intellect work effectively, such as finance and economic sphere, public health, aero-space production, agro-industrial field and use of natural resources. The article shows operating artificial intellect systems and their impact on economy and sustainable growth. Arguments in favor of these systems are given, as well as their connection with ESG conception. Finally, conclusions about trends in artificial intellect development in times of digitalization were made.

Publisher

Plekhanov Russian University of Economics (PRUE)

Subject

General Medicine

Reference27 articles.

1. Arenkov I. A., Krylova Yu. V., Tsenzharik M. K. Klientoorientirovannyy podkhod k upravleniyu biznes-protsessami v tsifrovoy ekonomike [Client-Oriented Approach to Business Process Management in the Digital Economy]. Nauchno-tekhnicheskie vedomosti SanktPeterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki [Scientific and Technical Bulletin of Saint Petersburg State Polytechnic University. Economic Sciences], 2017, No. 10 (6), pp. 18–30. (In Russ.).

2. Barinov V. R., Barinova N. V. Ispolzovanie instrumentov iskusstvennogo intellekta pri razrabotke programmnogo obespecheniya v kontekste POD/FT [The Use of Artificial Intelligence Tools in Software Development in the Context of AML/CFT]. Ugrozy i riski finansovoy bezopasnosti v kontekste tsifrovoy transformatsii: materialy VII Mezhdunarodnoy nauchnoprakticheskoy konferentsii Mezhdunarodnogo setevogo instituta v sfere POD/FT [Threats and Risks of Financial Security in the Context of Digital Transformation. Materials of the VII International Scientific and Practical Conference of the International Network Institute in the Field of AML/FT]. Moscow, 2021, pp. 241–246. (In Russ.).

3. Barinov V. R., Filippovich Yu. N. Primenenie fraktalnogo ischisleniya dlya analiza rezultatov assotsiativno-verbalnogo eksperimenta [Application of Fractal Calculus to Analyze the Results of an Associative-Verbal Experiment]. Modelirovanie, optimizatsiya i informatsionnye tekhnologii [Modeling, Optimization and Information Technology], 2022, Vol. 10, No. 3 (38), pp. 19–20. (In Russ.).

4. Barinova N. V., Barinov V. R. Tsifrovaya ekonomika, Industriya 4.0 i iskusstvennyy intellekt [Digital Economy, Industry 4.0 and Artificial Intelligence]. Vestnik Rossiyskogo ekonomicheskogo universiteta imeni G. V. Plekhanova [Vestnik of the Plekhanov Russian University of Economics], 2021, Vol. 18, No. 3 (117), pp. 82–91. (In Russ.).

5. Barinova N. V., Barinov V. R. Tsifrovaya ekonomika, iskusstvennyy intellekt, Industriya 5.0: vyzovy sovremennosti [Digital Economy, Artificial Intelligence, Industry 5.0: Challenges of Modernity]. Vestnik Rossiyskogo ekonomicheskogo universiteta imeni G. V. Plekhanova [Vestnik of the Plekhanov Russian University of Economics], 2022, Vol. 19, No. 5 (125), pp. 23–34. (In Russ.).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Today’s Trends of Software Product Import-Substitution in Conditions of Economy Digitalization;Vestnik of the Plekhanov Russian University of Economics;2024-05-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3