Innovations of Contemporary Artificial Intelligence: Value-Based Approach

Introduction. In recent years, the role of artificial intelligence (AI) in social life has increased. Innovations in the field of AI create not only new opportunities for a person and society as a whole, but also risks, problems and threats, which leads to the actualization of a risk-oriented approach towards the regulation of AI development on both the international and national levels. The problem of AI risk management has several interrelated areas, one of the central ones is the problem of identification of values on which the ethics of AI is built. The article considers issues related to the value-oriented direction of development of contemporary AI.

Methodology and sources. In the article there were used the methodology of cultural philosophical, axiological and interdisciplinary approaches is used. The sources used in the article are scientific research of domestic and foreign authors, documents, publications and websites devoted to the current state of AI and its problems.

Results and discussion. The topic of contemporary AI is developing as a special area of scientific and disciplinary knowledge, as well as a scalable AI industry. One of the latest trends in the current AI is emotional AI and its capabilities in establishing effective communication with person. However, despite the revolutionary nature of the new AI technology and the special significance of this innovation in AI communication with person, the problems of ethics and the value-oriented development of contemporary AI are defined by experts as key problems of our time.

Conclusion. Contemporary AI is analyzed today from the standpoint of various classifications, the central place is occupied by the classification based on the comparison of human intelligence and AI. In this regard, the formalization of moral values and ethical principles in the process of developing and operating AI algorithms is important for the value-oriented human-AI interaction. However, the system of universal human values and AI values coincide only partially. As a result, new approaches emerge that do not compare AI and human intelligence, in particular, the interdisciplinary approach «4E Cognition», which is considered by experts as the most productive in all respects.

1. Gotovtsev, P.M., Karpov, V.E., Nestik, T.A. and Potapova, E.G. (2020), “Why does artificial intelligence need ethics?”, Etika i «tsifra»: eticheskie problemy tsifrovykh tekhnologii [Ethics and the Digital: Ethical Issues of Digital Technologies], RANEPA; Moscow, RUS, pp. 40–42.

2. “Culture is developing a strategy for breakfast”, TenChat, available at: https://tenchat.ru/media/104720-kultura-syedayet-strategiyu-na-zavtrak (accessed 08.06.2024).

3. Lektorsky, V.A. (2022), “Artificial Intelligence in Human Studies, the Human being in the World, created by Artificial Intelligence”, Man and systems of artificial intelligence, Yuridicheskii tsentr, SPb., RUS, pp. 10–29.

4. Daugherty, P. and Wilson, J. (2019), Human + Machine: Reimagining Work in the Age of AI, Transl. by Sivchenko, O. and Yatsyuk, N., Mann, Ivanov i Ferber, Moscow, RUS.

5. Ashmanov, I.S. and Kasperskaya, N.I. (2021), Tsifrovaya gigiena [Digital Hygiene], Piter, SPb., RUS.

6. Banh, L. and Strobel, G. (2023), “Generative artificial intelligence”, Electron Markets, vol. 33, no. 63. DOI: https://doi.org/10.1007/s12525-023-00680-1.

7. YandexGPT, available at: https://ya.ru/ai/index (accessed 18.09.2024).

8. GigaChat, available at: https://giga.chat/ (accessed 18.09.2024).

9. Marsavin, O. (2024), “OpenAI Unveils New Model o1: A Neural Network That Thinks and Decides 6x Better Than GPT-4o”, IT World, 12.09.2024, available at: https://www.it-world.ru/tech/9fpmsusqq1c8os8sc00oocwss00occ.html (accessed 28.09.2024).

10. “Sam Altman: GPT-5 will be a mich more advanced version of the current GPT-4o“ Overclockers. 30.07.2024, available at: https://overclockers.ru/blog/RoadToKnowledge/show/166579/Sem-Al-tmanGPT-5-stanet-v-razy-bolee-prodvinutoj-versiej-nyneshnej-GPT-4o (accessed 28.09.2024).

11. Searle, J. (1980), “Minds, Brains, and Programs”, Gumanitarnyi portal [Humanitarian portal], available at: https://gtmarket.ru/library/articles/6661 (accessed 13.09.2024).

12. Gilson, C. (2017), “Ben Goertzel on how blockchain can decentralize artificial intelligence”, Cointelegraph, 20.10.2017, available at: https://cointelegraph.com/news/ben-goertzel-on-how blockchain-can-be-used-to-decentralize-artificial-intelligence (accessed 22.08.2024).

13. “Ben Goertzel: “Baby AGI could be here as early as 2025” (2024), Securitylab.ru, 29.02.2024, available at: https://www.securitylab.ru/news/546389.php (accessed 13.09.2024).

14. Artificial Superintelligence Alliance, available at: https://www.superintelligence.io (accessed 23.09.2024).

15. Gorkovenko, I.A. and Strel’chenko, V.I. (2010), “The Idea of a Scientific Picture of the World: "Postnonclassical Rationality”, Pushkin Leningrad State Univ. J., vol. 2, no. 2, pp. 133–141.

16. Chernigovskaya, T.V. (2022), “Artificial and Natural Intelligence: Meaning or Structures?”, Man and systems of artificial intelligence, Yuridicheskii tsentr, SPb., RUS, pp. 160–171.

17. Mamina, R.I. and Ilina, A.V. (2022), “Artificial Intelligence: in Search for Formalization of Ethical Foundations”, DISCOURSE, vol. 8, no. 6, pp. 17–30. DOI: 10.32603/2412-8562-2022-8-6-17–30.

18. Karpova, E.A. and Drynkina, T.I. (2022), “STREAM technology as a new educational paradigm for the development of key competences of the XXI century”, Vestnik of State Univ. of Humanities and Technology, no 3, pp. 35‒42.

19. “Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024”, Official J. of the European Union, available at: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202401689 (accessed 18.09.2024).

20. “ISO/IEC 42001:2023. Information technology. Artificial intelligence. Management system” (2024), Russian Standardization Institute, available at: https://www.gostinfo.ru/catalog/Details/?id=7479292 (accessed 18.09.2024).

21. Finn, V. (2019), “Not all functions of natural intelligence can be formalized and automated”, Kommersant", 23.12.2019, available at: https://www.kommersant.ru/doc/4198609 (accessed 08.08.2024).

22. Kulik, A. “Unlocking the Secrets of the AI Mind: Unique Values and Psychological Traits”, TenChat, available at: https://tenchat.ru/media/2252628-raskryvaya-tayny-razuma-ii-unikalnyyetsennosti-i-psikhologicheskiye-cherty (accessed 08.08.2024).

23. Newen, A., De Bruin, L. and Gallagher, Sh. (2018), The Oxford Handbook of 4E Cognition, Oxford Univ. Press, Oxford, UK. DOI: https://doi.org/10.1093/oxfordhb/9780198735410.001.0001.

24. Hoffman, M. and Pfeifer, R. (2018), “Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up”, The Oxford Handbook of 4E Cognition, Newen, A., De Bruinand, L. and Gallagher, Sh., Oxford Univ. Press, Oxford, UK. pp. 841–862. DOI: https://doi.org/10.1093/oxfordhb/9780198735410.013.45.

25. McLuhan, M. (2003), Understanding media: The extensions of man, Transl. by Nikolaev, V., Kanon-press-C; Kuchkovo pole, Moscow, Zhukovskii, RUS.

26. Backsanskii, О.Е. (2016), “Strategic objectives of NBICS-convergence: knowledge, technologies and society”, Rossiya: tendentsii i perspektivy razvitiya [Russia: development trends and prospects], iss. 11, part II, INION RAS, Moscow, RUS, pp. 14–19.

27. “Science in AI: How Russian Scientists Research Artificial Intelligence”, TASS, available at: https://spec.tass.ru/tinkoff-research/#:~:text=Ученые%20про%20исследования%20искусственного%20инте% (accessed 17.08.2024).