Artificial intelligence

Abstract: The paper analysis the strategies and concepts developed in the world in modern directions: innova- tive economy, digital economy, artificial intelligence, Industry 4.0 and others. The problem is to determine the initial fundamental parameters of order and their prospects in the global world, the definition and principles of artificial intel- ligence systems (AIS), its structure and important aspects and principles of future science and technology in analysis and synthesis based on synergetic approaches, innovative, information, converged technologies, taking into account the design of future and viable and safe and sustainable development in the context of Industry 4.0, digital economy (DE) and Society 5.0. The general scheme of the integrated model of sustainable and socio-humanitarian development in the global system is proposed, which the authors call the noosphere model of sustainable and safe development as an important fundamental platform for the design and creation of AIS. In the XXI century education, science and innova- tive technologies becomes the «basis» of the spiritual and material reproduction of man, transforming the society of the XXI century into an educational society, ensures compliance with the law of advanced development of human quality, quality of social intelligence and quality of educational systems in society. noosphere evolution (Субетто, 2008). Industry 4.0 is the next stage in the digitalization of production technologies with the accelerated introduction of new developments and cyberphysical systems, which is changing business models. Accordingly, Industry 4.0 as a separate segment of digital manufacturing technologies takes its place among other digital sectors. The analysis of the Strategies and Concepts developed in the world in modern directions: innovative economy, digital economy, artificial intelli- gence, Industry 4.0 and others is carried out in the work. The problem is to determine the initial fundamental para- meters of order and their prospects in the global world, the definition and principles of artificial intelligence systems (AIS), its structure and important aspects and principles of future science and technology in analysis and synthesis ba- sed on synergetic approaches, innovative, information, converged technologies, taking into account the design of future and viable and safe and sustainable development in the context of Industry 4.0, DE and Society 5.0. The main scientific and technological factors in the 21st century will be the development of: Artificial Intelligence, Nano Technologies, Bio-Media Technologies, Cognitive Technologies and Socio-Humanitarian Technologies. More specifically – this is the modern development of Innovative Technologies: «NBIC SH». Therefore, it is necessary to note the importance of taking into account the principle of I2K2+SH, ie: Intellectualization, Integration, Convergence, Coevolution and Socio- humanitarian technologies. It is important and necessary to take into account modern principles of designing a su- stainable and secure AIS and solving the problem of Harmonization between 2 worlds: Real and Virtual, especially in their hybridization. Our immediate future is a hybrid nonlinear world. Note that digitalization, artificial intelligence (AI) and robotics will be the main drivers of global economic growth by 2030E. An important paradigm and platform is the Integrated System: for Industry 4.0, DE and AI, taking into account the complex principle of I2K2+SH. If the transition of the Ukrainian economy to an innovative one does not take place in the next 3-5 years, Ukraine will remain in the backyard of civilization.

Keywords: artificial intelligence; intellectualization; development strategy; system; structure; principles; technologies

References:

1. Institut Brukingsa proanaliziroval nacional'nye strategii razvitija iskusstvennogo intellekta (II). (b. d.). Retrived from https://www.brookings.edu/research/how-different-countries-view-artificial-intelligence/
2. Koncepcіja rozvitku sferi shtuchnogo іntelektu v Ukraїnі. Proekt. (2020). Rozporjadzhennja KMU. Retrived from https://thedigital.gov.ua/storage/uploads/files/Koncepcіja final ShІ.docx
3. Krakoveckij, O. (2019). Ogljad nacіonal'nih strategіj. Retrived from https://medium.com/@sashaeve/ogljad-nacіonal'nih-strategіj-rozvitku-shtuchnogo-іntelektu-f1d869991d7
4. Ramazanov, S.K. (2008). Modeli i informacionnye tehnologii jekologo-jekonomicheskogo upravlenija proizvodstvennoj sistemoj v nestabil'noj srede [Avtoref. disser. na soiskanie uch. step. d.t.n.].
5. Ramazanov, S. K. (2019). Іnformacіjno-іnnovacіjnі tehnologії upravlіnnja v ekologo-ekonomіchnih sistemah (S. K. Ramazanov, Red.). KNEU іm. V. Get'mana.
6. Subetto, A.I. (2008). Doktrina duhovno-nravstvennoj sistemy noosfernogo cheloveka i noosfernogo obrazovanija (Kostroma: KGU im. N.A.Nekrasova).
7. Chubatjuk, Ju. (2020). Ukraincy ne sklonny doverjat' apokalipticheskim scenarijam v kontekste razvitija iskusstvennogo intellekta, pokazyvaet opros. Retrived from https://rus.lb.ua/tech/2019/01/15/417108_protivostoyat_ugrozam.html
8. AI WATCH report ‘defining ai’: An operational definition and taxonomy of all ai different approaches. Retrived from https://ai-regulation.com/ai-watch-report-defining-ai-an-operational-definition-and-taxonomy-of-all-ai-different-approaches/
9. Dawson, S. F., Kevin C. Desouza, and Gregory S. (2020). How different countries view artificial intelligence. Brookings. Retrived from https://www.brookings.edu/research/how-different-countries-view-artificial-intelligence/
10. Ramazanov, S. (b. d.). Development management and forecasting in a green innovative economy based on the integral dynamics model in the conditions of «Industry – 4.0». 1(1), 9–31.
11. Ramazanov, S. K. (2020). Future Production Systems (Green Innovation Economy of the Future). 1(1), 6–8.
12. Ramazanov, S.K., Babenko, V., Honcharenko, O., Moisieieva, N., & Dykan, V. (2020). Integrated Intelligent Information and Analytical System of Management of a Life Cycle of Products of Transport Companies. 12(3), 26–33. https://doi.org/10.22059/jitm.2020.76291
13. Ramazanov, S.K., Honcharenko, O., & Makarenko, M. (2020). The problem of sustainability of the development of an integrated technogenic system in an innovative economy and «Industry 4.0» (I. Linde, I. Chumachenko, & V. Timofeyev, Red.). ISMA.
14. Robles, P., Tse, P., Shen, A., & Long, D. (2018). China plans to be a world leader in Artificial Intelligence by 2030. South China Morning Post. Retrived from https://multimedia.scmp.com/news/china/article/2166148/china-2025-artificial-intelligence/index.html