Artificial intelligence and neural networks
new context of identification
DOI:
https://doi.org/10.23925/2179-3565.2025v16i2p146-154Palabras clave:
Digital transformation, Artificial Intelligence Ethics, Innovative development, Human identity, Artificial Intelligence culture, Personal data, Big Data analyticsResumen
The current stage of humanity's development is characterized by an active digital transformation of processes that ensure its prosperous existence. Digital systems present users with functionalities that rely on artificial intelligence and neural networks, thus shaping their identification contexts. The article establishes potential threats to human beings that may arise from developing intelligent systems (e.g., threats to personal data, the value system, and culture). Particular attention is paid to current state regulation in AI development. Russia has developed and enforces its own Code of Ethics in the Field of AI and legislative acts regulating the development, introduction, and use of intelligent systems in different industries. The research substantiates the need to analyze the results delivered by AI systems based on the formulated questions to prevent the delegation of human intellectual activity to them. The study concludes that the development of AI needs to be studied with an interdisciplinary approach
Citas
Aggarwal, K., Mijwil, M.M., Sonia, Al-Mistarehi, A.H., Alomari, S., Gök, M., Alaabdin, A.M.Z., Abdulrhman, S.H. (2022). Has the future started? The current growth of artificial intelligence, machine learning, and deep learning. Iraqi Journal for Computer Science and Mathematics, 3(1), 115-123. http://dx.doi.org/10.52866/ijcsm.2022.01.01.013
Altemirova, Kh.S. (2023). Iskusstvennyi intellekt i vozmozhnosti ego primeneniia v raznykh sferakh zhizni [Artificial intelligence and the possibilities of its application in different areas of life]. Young Scientist, 48(495), 5-7.
Avdonin, V.S., Silaeva, V.L. (2023). Neiroseti novogo pokoleniia v kontekste tekhnologii iskusstvennogo intellekta, filosofii i sotsialno-politicheskikh nauk [New generation neural networks in the context of artificial intelligence technologies, philosophy and socio-political sciences]. Political Science, 4, 127-154. https://doi.org/10.31249/poln/2023.04.05
Barkova, E., Buzskaia, O., Ivleva, M., Buzskii, M. (2017). Ekologiia kultury v prostranstve sotsialnogo i gumanitarnogo znaniia [Ecology of culture in the space of social and humanities knowledge]. In Chelovek i obshchestvo v kontekste sovremennosti. Filosofskie chteniia pamiati professora P.K. Grechko (pp. 229-237). Moscow: Peoples’ Friendship University of Russia (RUDN University).
Belikova, E.K. (2024). Chelovecheskaia identichnost kak tsennost v kontekste kultury iskusstvennogo intellekta [Human identity as a value in the context of artificial intelligence culture]. Current Culture, 3, 1-12.
Federspiel, F., Mitchell, R., Asokan, A., Umana, C., McCoy, D. (2023). Threats by artificial intelligence to human health and human existence. BMJ Global Health, 8(5), e010435. http://dx.doi.org/10.1136/bmjgh-2022-010435
Flores, E., Xu, X., Lu, Y. (2020). Human capital 4.0: A workforce competence typology for Industry 4.0. Journal of Manufacturing Technology Management, 31(4), 687-703. https://doi.org/10.1108/JMTM-08-2019-0309
Gracheva, A.V., Naumov, V.B., Arkhipov, V. (2023). Identifikatsiia v sfere iskusstvennogo intellekta i robototekhniki: Sravnitelnoe issledovanie [Identification in the field of artificial intelligence and robotics: A comparative study]. Zakon, 2, 96-108. https://doi.org/10.37239/0869-4400-2023-20-2-96-108
Gusov, A.Z., Repkina, O.B. (2019). Sotsialnye resursy i riski promyshlennoi revoliutsii 4.0 v Rossii [Social resources and risks of industrial revolutions 4.0 in Russia]. Journal of Volgograd State University. Economics, 21(1), 5-12. https://doi.org/10.15688/jvolsu3.2019.1.1
Iskanderova, Sh.D. (2023). Vliianie iskusstvennogo intellekta na sovremennyi mir [The impact of artificial intelligence on the modern world]. Science and Education, 4(4), 564-570.
Ivaldi, S., Scaratti, G., Fregnan, E. (2022). Dwelling within the fourth industrial revolution: organizational learning for new competences, processes and work cultures. Journal of Workplace Learning, 34(1), 1-26. https://doi.org/10.1108/JWL-07-2020-0127
Jiang, Y., Li, X., Luo, H., Yin, S., Kaynak, O. (2022). Quo vadis artificial intelligence? Discover Artificial Intelligence, 2(1), 4. http://dx.doi.org/10.1007/s44163-022-00022-8
Krasnikova, I., Grankina, V. (2024). Machine vision based intelligent system for artificially reared fish condition monitoring. BIO Web of Conferences, 138, 01016. http://dx.doi.org/10.1051/bioconf/202413801016
Lee, S., Lee, M., Lee, S. (2023). What if artificial intelligence become completely ambient in our daily lives? Exploring future human-AI interaction through high fidelity illustrations. International Journal of Human–Computer Interaction, 39(7), 1371-1389. http://dx.doi.org/10.1080/10447318.2022.2080155
Logachev, M. (2024). Functional requirements for an intelligent system for monitoring the impact of beaver activity on ecosystems. BIO Web of Conferences, 130, 08022. http://dx.doi.org/10.1051/bioconf/202413008022
Logachev, M., Smirnova, Y. (2024). Implementing healthy eating principles for consumers in a digital farmers' market system. BIO Web of Conferences, 141, 01019. http://dx.doi.org/10.1051/bioconf/202414101019
Mahmood, T., Mubarik, M.S. (2020). Balancing innovation and exploitation in the fourth industrial revolution: Role of intellectual capital and technology absorptive capacity. Technological Forecasting and Social Change, 160, 120248. https://doi.org/10.1016/j.techfore.2020.120248
Mamedova, N.M. (2021). Chelovek v epokhu tsifrovizatsii: Na grani realnogo i virtualnogo [Humans in the age of digitalization: On the verge of real and virtual]. Vek Globalizatsii, 39(3), 74-85. http://dx.doi.org/10.30884/vglob/2021.03.06
Mamedova, N.M., Bezveselnaya, Z.V., Ivleva, M.I., Komarova, V. (2022). Environmental management for sustainable business development. Entrepreneurship and Sustainability Issues, 9(3), 134-151. https://doi.org/10.9770/jesi.2022.9.3(9)
Mirbabaie, M., Brünker, F., Möllmann, N.R., Stieglitz, S. (2022). The rise of artificial intelligence–understanding the AI identity threat at the workplace. Electronic Markets, 32, 72-99. https://doi.org/10.1007/s12525-021-00496-x
Neumann, W.P., Winkelhaus, S., Grosse, E.H., Glock, C.H. (2021). Industry 4.0 and the human factor – A systems framework and analysis methodology for successful development. International Journal of Production Economics, 233, 107992. https://doi.org/10.1016/j.ijpe.2020.107992
Ooi, K.B., Tan, G.W.H., Al-Emran, M., Al-Sharafi, M.A., Capatina, A., Chakraborty, A., Dwivedi, Y.K., Huang, T.L., Kar, A.K., Lee, V.-H., Loh, X.M., Micu, A., Mikalef, P., Mogaji, E., Pandey, N., Raman, R., Rana, N.P., Sarker, P., Sharma, A., Teng, C.-I., Wamba, S.F., Wan, W.L. (2025). The potential of generative artificial intelligence across disciplines: Perspectives and future directions. Journal of Computer Information Systems, 65(1), 76-103. https://doi.org/10.1080/08874417.2023.2261010
Popkova, E.G., Sergi, B.S. (2020). Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia. Journal of Intellectual Capital, 21(4), 565-581. https://doi.org/10.1108/JIC-09-2019-0224
Sarker, I.H. (2022). AI-based modeling: Techniques, applications and research issues towards automation, intelligent and smart systems. SN Computer Science, 3(2), 158. https://doi.org/10.1007/s42979-022-01043-x
Selenko, E., Bankins, S., Shoss, M., Warburton, J., Restubog, S.L.D. (2022). Artificial intelligence and the future of work: A functional-identity perspective. Current Directions in Psychological Science, 31(3), 272-279. http://dx.doi.org/10.1177/09637214221091823
Strich, F., Mayer, A.S., Fiedler, M. (2021). What do I do in a world of artificial intelligence? Investigating the impact of substitutive decision-making AI systems on employees' professional role identity. Journal of the Association for Information Systems, 22(2), 304-324. http://dx.doi.org/10.17705/1jais.00663
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122, 502-517. http://dx.doi.org/10.1016/j.jbusres.2020.09.009
Uysal, E., Alavi, S., Bezençon, V. (2022). Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features. Journal of the Academy of Marketing Science, 50(6), 1153-1175. http://dx.doi.org/10.1007/s11747-022-00856-9
Yuan, S., Musibau, H.O., Genç, S. Y., Shaheen, R., Ameen, A., Tan, Z. (2021). Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues?. Technological Forecasting and Social Change, 165, 120533. http://dx.doi.org/10.1016/j.techfore.2020.120533
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