Preview

Surgut State Pedagogical University Bulletin

Advanced search

The Impact of Artificial Intelligence on the Transformation of Digital Didive

https://doi.org/10.69571/SSPU.2024.92.5.011

Abstract

Artificial intelligence is one of the fastest growing sets of technologies, and its impact on modern society is becoming increasingly clear. If previously artificial intelligence was used mainly in mathematical and engineering fields of science, now artificial intelligence technologies are already being used in key areas of public life, and in the future the practice of using artificial intelligence will expand. Due to the dynamic spread of artificial intelligence, its impact on the possible transformation of the digital divide becomes relevant. The authors made an attempt to analyze possible directions for the transformation of digital divide under the influence of artificial intelligence. Using the concept of three levels of digital divide, the authors come to the conclusion that artificial intelligence can have both a positive impact on leveling the digital divide (in terms of analyzing the need for the creation and predictive maintenance of information infrastructure, a personalized approach to learning and increasing motivation to use digital technologies), and negative impact (in terms of limiting access to artificial intelligence technologies and increasing the economic gap between organizations using digital technologies). The authors suggested that the widespread use of artificial intelligence technologies can create a new level of digital inequality, expressed in a new way of quantifying society and possible discrimination of human rights

About the Authors

N. B. Kostina

Russian Federation


A. A. Hizhov

Russian Federation


References

1. Avdeeva I. L., Andieva E.Yu., and Afanas’ev, V. B. Cifrovaya ekonomika: problemy i posledstviya sovremennyh tekhnologij [Digital economy: problems and consequences of modern technologies] / I. L. Avdeeva, E. Yu. Andieva, V. B. Afanas'ev. Orel: Srednerusskij institut upravleniya — filial RANHiGS, 2019. 222 s. (In Russian).

2. Gladkova A. A., Garifullin V. Z., and Ragnedda, M. Model' trekh urovnej cifrovogo neravenstva: sovremennye vozmozhnosti i ogranicheniya (na primere issledovaniya Respubliki Tatarstan) [Model of three levels of the digital divide: current advantages and limitations (as exemplified by the Republic of Tatarstan)] // Vestnik moskovskogo universiteta. Seriya 10. Zhurnalistika, № 4. S. 41–72. (In Russian).

3. Glushkov V. M. Vvedenie v kibernetiku [Introduction to cybernetics], Kiev: Izd-vo Akademii nauk USSR, 1964. 324 s. (In Russian).

4. Primenenie iskusstvennogo intellekta na finansovom rynke. Doklad Central'nogo Banka Rossijskoj Federacii dlya obshchestvennyh konsul'tacij [Application of artificial intelligence in the financial market. Report of the Central Bank of the Russian Federation for public consultation], M, 2023. 52 s. (In Russian).

5. Petrunin Yu.Yu. Razvitie koncepcii social'nogo iskusstvennogo intellekta [Development of the concept of social artificial intelligence] // Vestnik Moskovskogo universiteta. Seriya 21. Upravlenie (gosudarstvo i obshchestvo). 2023. № 1. URL: https://cyberleninka.ru/article/n/razvitie-kontseptsii-sotsialnogo-iskusstvennogo-intellekta (data obrashcheniya: 05.08.2024). (In Russian).

6. Tertyshnikova A. G., Pavlova U. O., and Tsimbal, M. V. Social'noe isklyuchenie kak pobochnyj effekt mekhanizmov nejroobucheniya [Social exclusion as a side effect of machine learning mechanisms]. Cifrovaya sociologiya. 2022. T. 5. № 4. S. 23–30. (In Russian).

7. Fedorov M. F., and Lindre Yu.A. Iskusstvennyj intellekt i social'nyj rejting: nachalo epohi cifrovogo koncentracionnogo lagerya «v interesah chelovechestva»? [Artificial intelligence and social rating: the beginning of the era of digital concentration camp “in the interests of humanity”?], available at: https://russiancouncil.ru/analytics-and-comments/analytics/iskusstvennyy-intellekt-i-sotsialnyy-reyting-nachalo-epokhi-tsifrovogo-kontsentratsionnogo-lagerya-v/ (data obrashcheniya: 03.08.2024). (In Russian).

8. Andreyuk D. S., Petrunin, Yu. Shuranova, A. and Ushakov V. L. Information agenda as an analogue of attention in sociomorphic neuronal networks, Procedía computer science. 2022. № 213, pp. 292–295. (In English).

9. Dressel J. & Farid, H. The accuracy, fairness, and limits of predicting recidivism. Science Advances, 2018. 4(1). (In English).

10. Google Shopping: General Court of the European Union. European Commission, 2021. (In English).

11. Mau S. Numbers matter! The society of indicators, scores and ratings. International Studies in Sociology of Education, 2020. V. 29. № 1-2. Pp. 19—37. (In English).

12. Russell S. J. and Norvig, P. Artificial Intelligence: A Modern Approach. Hoboken: Pearson, 2021. 133 p. (In English).

13. Knight W. The Myth of ‘Open Source’ AI, Wired. 2023. URL: https://www.wired.com/story/the-myth-of-open-source-ai/ (data obrashcheniya: 05.08.2024). (In English).


Review

For citations:


Kostina N.B., Hizhov A.A. The Impact of Artificial Intelligence on the Transformation of Digital Didive. Surgut State Pedagogical University Bulletin. 2024;(5(92)):115-122. (In Russ.) https://doi.org/10.69571/SSPU.2024.92.5.011

Views: 77


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2078-7626 (Print)