RUDN Journal of EconomicsRUDN Journal of EconomicsВестник Российского университета дружбы народов. Серия: Экономика2313-23292408-8986Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)3425110.22363/2313-2329-2023-31-1-170-183QLIAGIINNOVATIONS IN THE MODERN ECONOMYИННОВАЦИИ В СОВРЕМЕННОЙ ЭКОНОМИКЕResearch ArticleThe artificial intelligence: Prospects for development and problems of humanizationИскусственный интеллект: перспективы развития и проблемы гуманизацииhttps://orcid.org/0000-0002-9148-6776DigilinaOlga B.ДигилинаОльга Борисовна

Doctor of Economics, Professor at the Department of Political Economy, Faculty of Economics

доктор экономических наук, профессор кафедры политической экономии, экономический факультет

Digilina_ob@pfur.ruhttps://orcid.org/0000-0003-1625-5844TeslenkoIrina B.ТесленкоИрина Борисовна

Doctor of Economics, Professor, Head of the Department of Business Informatics and Economics

доктор экономических наук, заведующая кафедрой «Бизнес-информатика и экономика»

iteslenko@inbox.ruNalbandyanAstghik A.НалбандянАстхик АрменаковнаCandidate of Economic Sciences, Associate Professor of the Department of Political Economy, Faculty of Economicsкандидат экономических наук, доцент кафедры политической экономии, экономический факультетnalbandyanaa@rudn.ruPeoples’ Friendship University of Russia (RUDN University)Российский университет дружбы народовVladimir State University named after Alexander and Nikolai StoletovsВладимирский государственный университет имени А.Г. и Н.Г. Столетовых30032023311CONTOURS OF GLOBAL TRANSFORMATIONSКОНТУРЫ ГЛОБАЛЬНЫХ ТРАНСФОРМАЦИЙ17018304042023Copyright ©; 2023, Digilina O.B., Teslenko I.B., Nalbandyan A.A.Copyright ©; 2023, Дигилина О.Б., Тесленко И.Б., Налбандян А.А.2023Digilina O.B., Teslenko I.B., Nalbandyan A.A.Дигилина О.Б., Тесленко И.Б., Налбандян А.А.https://creativecommons.org/licenses/by-nc/4.0https://journals.rudn.ru/economics/article/view/34251

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.

Исследуются основные проблемы, связанные с разработкой и внедрением технологий искусственного интеллекта в деятельность человека, а также гуманизацией этих технологий. В широком смысле искусственный интеллект - это набор алгоритмов и программных комплексов, способных решать некоторые задачи так, как это сделал бы человек, и отличающихся тем, что они поддаются обучению. Анализ проблем внедрения технологий искусственного интеллекта позволяет обосновать основные рычаги государственной политики, направленные на развитие и комплексное использование цифровых интеллектуальных систем. Успех внедрения и распространения технологий искусственного интеллекта во многом зависит от эффективности государственного регулирования данной сферы как на государственном, так и наднациональном уровне. Разработка систем машинного обучения обязательно должна включать в себя этический аспект и некоторые ограничения, иначе бурное развитие интеллектуальных машин может привести к краху человеческой цивилизации. Чтобы избежать такого развития событий, необходимо создать наднациональную систему регулирования искусственного интеллекта. Таким образом, объектом исследования данной статьи является применение систем искусственного интеллекта в различных сферах человеческой деятельности. Авторы используют контент-анализ, системные, адаптивные и синергетические методы. Кроме того, авторы применяют современную статистику, эмпирическое обобщение и группировку.

artificial intelligencemachine learningdigital economyrobotsAI markethumanizationискусственный интеллектмашинное обучениецифровая экономикароботырынок искусственного интеллектагуманизацияApresyan, R.G. (2019). Ethics and discussions about artificial intelligence. XI International Conference “Theoretical and Applied Ethics: Traditions and Prospects. Towards the Coming Digital Society. The experience of ethical forecasting (100 years since the birth of D. Bell - 1919-2019)”. St. Petersburg: OOO “Assembly. 169-170. (In Russ.).Betke, A. (2019). What is required for AI for the benefit of society projects? Seven Key Components. J. ITU News MAGAZINE, 3, 32-34.Botvinnik, M.M. (1981). Why did the idea of artificial intelligence come about? J. Cybernetics: Prospects for development (pp. 51-56). Moscow.Fjelland, R. (2020). Why general artificial intelligence will not be realized. Humanit Soc. Sci. Commun, 7, 10. https://doi.org/10.1057/s41599-020-0494-4Gorodnova, N.V. (2021). The use of artificial intelligence in business: current state and prospects. J. Issues of innovative economy, 11(4), 1473-1492. (In Russ.). https://doi:10.18334/vinec.11.4.11224Grimshaw, M. (2017). Digital society and capitalism. Palgrave Commun, 3, 28. https://doi. org/10.1057/s41599-017-0020-5Haugeland, J. (1981). Artificial intelligence: The very idea. Cambridge (Mass.); L: MIT press.Kalyaev, I., & Zaborovsky, V. (2019). Artificial intelligence: from metaphor to technical solutions. J. Control engineering Russia, 5(83), 26-31. (In Russ.).Kasparyants, D. (2022). Review of the report of the Stanford Institute “Artificial Intelligence Index 2022”. Stanford University. Retrieved July 14, 2022, from https://aiindex.stanford.edu/wpcontent/uploads/2022/03/2022-AI-Index-Report_Master.pdfKhvatkov, G. (2021). Artificial intelligence in Russia. Industry status and forecasts. (In Russ.). Retrieved July 14, 2022, from https://skillbox.ru/media/business/iskusstvennyy-intellekt-vrossii/Larichkin, E. (2020). 11 GreenTech startups from Russia - Future on vc.ru. (In Russ.). Retrieved July 14, 2022, from https://vc.ru https://vc.ru/future/100543-11-greentech-startapov-izrossiiLi, X., He, J., Huang, Y., Liu, X., & Dai, J. (2022). Predicting the factors influencing construction enterprises’ adoption of green development behaviours using artificial neural network. Humanities and Social Sciences Communications, 9(1), 238. https://doi.org/10.1057/s41599-022-01253-x.Markova, I.V., & Davydov, D.A. (2019). AI in the modern digital society: the problem of ethical reflection. In V.Yu. Perov (Ed.), XI International Conference “Theoretical and Applied Ethics: Traditions and Prospects - 2019. Towards the Coming Digital Society. The experience of ethical forecasting (100 years since the birth of D. Bell - 1919-2019)”. St. Petersburg State University, November 21-23, 2019, Conference materials (pp. 171-172) St. Petersburg: OOO “Assembly”. (In Russ.).Mack, E. (2019). What AI is up to by 2030. Predictions Inc. (In Russ.). Retrieved January 17, 2022, from https://incrussia.ru/understand/do-chego-dodumaetsya-iskusstvennyj-intellektk-2030-godu-predskazaniya-inc/Matveenkov, K. (2022). RIAC: Artificial Intelligence with Chinese Characteristics: Will China Become the World Leader in AI by 2030? (In Russ.). Retrieved July 14, 2022, from https://russiancouncil.ru/analytics-and-comments/analytics/iskusstvennyy-intellekt-s-kitayskoyspetsifikoy-stanet-li-kitay-mirovym/Mооre, J. (1985). Are there decisions computers should never make? In Ethical issues in the use of computers. 120-130. Belmont.Morimoto, J. (2022). Intersectionality of social and philosophical frameworks with technology: could ethical AI restore equality of opportunities in academia. Humanities and Social Sciences Communications, 9(1), 203. https://doi.org/10.1057/s41599-022-01223-3.National Strategy for the Development of Artificial Intelligence in Russia (2017). Retrieved May 22, 2022, from https://www.tadviser.ru//index.php/Popanov, V. (2022). Powerful models are more toxic than ever. (In Russ.). Retrieved March 16, 2022, from https://itbusiness.com.ua/softnews/108519-moshhnye-modeli-toksichny-kaknikogda.htmlPopkova, E., Alekseev, A.N., Lobova, S.V., & Sergi, B.S. (2020). The Theory of Innovation and Innovative Development. AI Scenarios in Russia. Technology in Society? 63,101390. https://doi.org/10.1016/j.techsoc.2020.101390.Popkova, E., Bogoviz, A.V., & Sergi, B.S. (2021). Towards digital society management and ‘capitalism 4.0’ in contemporary Russia. Humanities and Social Sciences Communications, 8(1), 77. https://doi.org/10.1057/s41599-021-00743-8.Razin, A.V. (2019). Ethics of artificial intelligence. J. Philosophy and Society, 1, 57-73.Reshetnikova, M.S. (2021). Future, China: AI Leader in 2030? In The International Research & Innovation Forum (pp. 455-463). Springer: Cham. (In Russ.). https://doi.org/10.1007/9783-030-84311-3_42.Sahota, N., & Ashley, M. (2019). AI for good? J. ITU News MAGAZINE, 3, 54-56. Retrieved May 22, 2022, from https://www.itu.int/en/itunews/Documents/2019/2019-03/2019_ ITUNews03-en.pdfSareen, S., Saltelli, A., & Rommetveit, K. (2020). Ethics of quantification: illumination, obfuscation and performative legitimation. Palgrave Commun, 6, 20.Smirnov, E.G., & Lukyanov, S.A. (2019). Development of the Global Market of Artifical Intelligence Systems. J. Economy of Region, 15(1), 57-69. (In Russ.).Tretyakov, E. (2020). Technology will help oilmen earn another $1 trillion in five years. (In Russ.). Retrieved May 22, 2022, from https://www.vedomosti.ru/partner/articles/2020/10/30/845034-haitek-neftiTuring, A. (2016). Can a machine think. M.: Editorial URSS, Lenand, 67.Volchok, A. (2021). Artificial intelligence technologies: what they can do, where they are used. (In Russ.). Retrieved March 25, 2022, from https://gb.ru/blog/tekhnologiiiskusstvennogo-intellekta/Weizenbaum, J. (1982). Possibilities of computers and human mind: from judgments to calculations. Moscow: Radio and communication. 368.