Social issues in the development and application of artificial intelligence

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Abstract

Today the world is going through a period of rapid development of artificial intelligence (AI). Advances in this field determine the creation of machines capable of learning and performing of previously purely human cognitive tasks. AI is one of the key elements in the era of convergence of technologies, which is associated with profound consequences for humans, culture, society and environment. Since AI is a cognitive technology, its various aspects are inextricably linked with the main forms of human activity: education, science, culture and communication. Algorithms of social networks and news sites can contribute to the spread of misinformation and affect the perception of the concepts ‘facts’ and ‘truth’, affect political interaction and activity. Machine learning can reinforce and deepen bias, which, in turn, can increase inequality and alienation, pose a threat to cultural diversity. The scale and power of AI technologies increase the asymmetry between individuals, groups and countries, which is manifested in the ‘digital divide’ within and between countries. Thus, although AI has the potential to change the future of humanity for the better, people are increasingly aware of the risks and challenges of this technology, especially in terms of aggravating existing inequalities and imbalances, and its consequences for human rights. To develop possible scenarios and to use the potential of AI for development aims under the control over risks, we need a more comprehensive understanding of how society is changing under the influence of such a revolutionary technology as AI.

About the authors

V. A. Tsvyk

RUDN University

Author for correspondence.
Email: tsvyk-va@rudn.ru

доктор философских наук, заведующий кафедрой этики и декан факультета гуманитарных и социальных наук

Miklukho-Maklaya St., 6, Moscow, 117198, Russia

I. V. Tsvyk

Moscow Aviation Institute

Email: tsvykirina@mail.ru

доктор философских наук, профессор кафедры философии

Volokolamskoe Shosse, 4, Moscow, 125993, Russia

References

  1. Bovykin V.I. Filosofiya iskusstvennogo intellekta: problemy terminologii i metodologii [Philosophy of artificial intelligence: Issues of terminology and methodology]. Filosofiya i Kultura. 2012; 8. (In Russ.).
  2. Wiener N. Tvorets i robot [The Creator and the Robot]. Мoscow; 1966. (In Russ.).
  3. Kvon D.A., Pavlova T.P., Tsvyk I.V. Filosofiya i metodologiya iskusstvennogo intellekta [Philosophy and Methodology of Artificial Intelligence]. Мoscow; 2021. (In Russ.).
  4. Maltsev A.A. Intellekt kak resurs [Intelligence as a resource]. Myshlenie, kognitivnye nauki, iskusstvenny intellect. Мoscow; 1988. (In Russ.).
  5. Nazaretyan A.P. Intellekt vo Vselennoj: istoriya, stanovlenie, perspektivy [Intelligence in the Universe: History, Formation, Prospects]. Мoscow; 1991. (In Russ.).
  6. Nikitina E.A. Iskusstvenny intellekt: filosofiya, metodologiya, innovatsii [Artificial intelligence: Philosophy, methodology, innovation]. Filosofskie Problemy Informatsionnyh Tekhnologiy i Kiberprostranstva. 2014; 2. (In Russ.).
  7. Nikitina E.A. Konvergentnye tekhnologii i transformatsiya struktury poznaniya [Convergent technologies and transformation of the structure of cognition]. Obrazovatelnye Resursy i Tekhnologii. 2014; 5. (In Russ.).
  8. Petrunin Yu.Yu., Ryazanov M.A., Saveliev A.V. Filosofiya iskusstvennogo intellekta v kontseptsiyah nejronauk [Philosophy of Artificial Intelligence in the Concepts of Neuroscience]. Мoscow; 2010. (In Russ.).
  9. Ashley K.D. Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age. Cambridge; 2017.
  10. Boden M.A. AI: Its Nature and Future. Oxford; 2016.
  11. Frankish K., Ramsey W.M. The Cambridge Handbook of Artificial Intelligence. Cambridge; 2014.
  12. Illanes P., Lund S., Mourshed M., Rutherford S., Tyreman M. Retraining and reskilling workers in the age of automation. URL: https://www.mckinsey.com/featured-insights/future-of-work/retraining-and-reskilling-workers-in-the-age-of-automation.
  13. Hinchiffe T. Medicine or poison? On the ethics of AI implants in humans. URL: https://www.sociable.co/technology/ethics-ai-implants-humans.
  14. Motorina L.E., Sytnik V.M. Existential, instrumental and cyber spaces as ontological modi of human being. Nova Prisutnost. 2020; 18 (3).
  15. Payne K. Artificial intelligence: A revolution in strategic affairs? Survival. 2018; 60 (5).
  16. Russel S.J., Norvig P. Artificial Intelligence: A Modern Approach. Harlow; 2020.
  17. The Next Rembrandt. URL: https://news.microsoft.com/europe/futures/next-rembrandt.
  18. Tsvyk V.A., Tsvyk I.V Professional development in information society: Challenges and prospects. RUDN Journal of Sociology. 2018; 18 (3).
  19. Tsvyk V.A., Tsvyk I.V. Moral values of professional activity in information society. RUDN Journal of Sociology. 2019; 19 (3).
  20. Vernon D. Artificial Cognitive Systems: A Primer. Cambridge; 2014.

Copyright (c) 2022 Tsvyk V.A., Tsvyk I.V.

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