Social Discrimination in the Epoch of Artificial Intelligence
Keywords:artificial intelligence, social discrimination, digitalization, digital literacy, artificial intelligence bias
The article aims to study the genesis of understanding the causes of social discrimination from its traditional manifestations to the era of digitalization and artificial intelligence.
The methodological basis of this scientific article was formed by the approaches, methods and principles of scientific research. The authors independently check existing theories and previous results of practical research in the field of social discrimination, as well as discover new modern forms of its manifestation generated by the action of artificial intelligence and subject them to open discussion, offering their vision of solving the problem of neutralizing the risks spread by the use of artificial intelligence technologies concerning certain social groups of people. In this article, the authors continue their case studies in exploring the ethics of artificial intelligence and the benefits and risks of its ubiquity and use.
Ashmanov, I. (2020). Monstrous Anti-utopia in Reality. Retrieved March 20, 2022, from https://pandoraopen.ru/2020-11-16/igor-ashmanov-nachinaetsya-kakaya-to-chudovishhnaya-antiutopiya-v-realnosti/
Central Bank of Russia (2020). Obzor otchetnosti ob incidentakh informacionnoi bezopasnosti pri perevode denezhnykh sredstv (Review of the reporting of information security incidents in money transfers, in Russian). Retrieved April 5, 2022, from https://cbr.ru/analytics/ib/review_1q_2q_2020/
Chang, K. (2020). Artificial intelligence in personnel management: The development of APM mod-el. The Bottom Line, 33(4), 377-388. https://doi.org/10.1108/BL-08-2020-0055
Courtland, R (2018, June 20). Bias detectives: The researchers striving to make algorithms fair. Na-ture. Retrieved March 15, 2022, from https://www.nature.com/articles/d41586-018-05469-3
Leonov, V. A., Kashtanova, E. V., & Lobacheva, A. S. (2021). Ethical Aspects of the Use of Artifi-cial Intelligence in the Social Sphere and Management Environment. Social and Behav-ioural Sciences, 118, 989-998. doi:10.15405/epsbs.2021.04.02.118
Mezhdunarodnyi pakt o grazhdanskikh i politicheskikh pravakh (International Covenant on Civil and Political Rights, in Russian). (1966, December 16). Retrieved April 1, 2022, from https://www.un.org/ru/documents/decl_conv/conventions/pactpol.shtml
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, Joly-December, 1-21. doi: 10.1177/2053951716679679
Popkova, E. G., & Gulzat, K. (2020). Contradiction of the digital economy: Public well-being vs. cyber threats. Lecture Notes in Networks and Systems, 87, 112-124. doi: 10.1007/978-3-030-29586-8_13
Ross, G., & Konyavsky, V. (2020) New method for digital economy userís protection. Lecture notes in networks and systems, 78, 221-230. doi: 10.1007/978-3-030-22493-6_20.
Sinhaa, N., Singhb, P., Guptaa, M., & Singha, P. (2020). Robotics at workplace: An integrated twit-ter analytics ñ SEM based approach to behavioural intention to accept. International Jour-nal of Information Management, 55, 102210.
Suen, H. Y., Hung, K. E., & Lin, C. L. (2020). Intelligent video interview agent used to predict communication skill and perceived personality traits. Human-Centric Computing and In-formation Sciences, 10, 3, 1-12. https://doi.org/10.1186/s13673-020-0208-3
Symitsi, E., Stamolampros, P., Daskalakis, G., & Korfiatis, N. (2021). The Informational Value of Employee Online Reviews. European Journal of Operational Research, 288, 605-619.
Vinichenko, M. V., Narrainen, G. S., Melnichuk, A. V., & Chalid P. (2020). The influence of artifi-cial intelligence on human activities. Frontier Information Technology and Systems Re-search in Cooperative Economics, Studies in Systems, Decision and Control, 316, 561-570. doi:10.1007/978-3-030-57831-2_60
How to Cite
Copyright (c) 2022 scientific journal WISDOM
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Creative Commons Attribution-Non-Commercial (CC BY-NC). CC BY-NC allows users to copy and distribute the article, provided this is not done for commercial purposes. The users may adapt – remix, transform, and build upon the material giving appropriate credit, providing a link to the license. The full details of the license are available at https://creativecommons.org/licenses/by-nc/4.0/.