Cite this article as:
Ustyantsev V. B., Orlov M. O., Listvina E. V., Ryazanov A. V. The problem of digital recognition of personal behavior in the context of modern challenges: Socio-philosophical and theological analysis. Izvestiya of Saratov University. Philosophy. Psychology. Pedagogy, 2023, vol. 23, iss. 4, pp. 404-408. DOI: https://doi.org/10.18500/1819-7671-2023-23-4-404-408
The problem of digital recognition of personal behavior in the context of modern challenges: Socio-philosophical and theological analysis
Introduction. The article examines the problem of digital personality recognition as one of the dimensions of artificial intelligence from the perspective of socio-philosophical and theological analysis. Theoretical analysis. One of the distinctive features of the scientific and technological development of modern society is that various artificial intelligence (AI) systems have moved from the category of science fiction, utopian projects, innovative developments, prototypes and market innovations to the category of familiar and little-noticed elements of everyday life. This technology, also known as the Internet of Behavior, involves identifying and assessing an individual’s behavior both from the point of view of compliance with requirements and from the point of view of identifying patterns of individual behavior that can become the basis for his identification. The prerequisites and conditions for the emergence of the phenomenon of “golemization” of the individual are analyzed, i.e. its reduction to a set of external physical actions and manifestations without taking into account internal motives as one of the risks that require social philosophical and theological reflection. Conclusion. Within the framework of socio-philosophical and theological discourse, digital recognition of personal behavior can have a positive meaning, because increases attention to responsibility for one’s actions and potentially leads to a decrease in crime rates, as well as a negative value due to the possibility of creating virtual identities that differ from a person’s true identity.
- Beck U. Risikogesellschaft: auf dem Weg in eine andere Moderne. Frankfurt am Main, Suhrkamp, 1986. 391 S. (Russ. ed.: Beck U. Obshchestvo riska: na puti k drugomu modernu. Moscow, Progress-Traditsiya, 2000. 384 p.).
- Zuboff Sh. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York, PublicAffairs, 2018. 691 p. (Russ. ed.: Zuboff Sh. Epokha nadzornogo kapitalizma: bitva za chelovecheskoe budushchee na novykh rubezhakh vlasti. Moscow, Institut Gajdara Publ., 2022. 784 p.).
- Gribbins M. L., Bonk C. J. An exploration of instructors’ perceptions about online proctoring and its value in ensuring academic integrity. British Journal of Educational Technology, 2023, vol. 54, iss. 6, pp. 1693–1714. https://doi.org/10.1111/bjet.13389
- Li L. Emotion Recognition of Foreign Language Teachers in College English Classroom Teaching. Frontiers in Psychology, 2021, vol. 12, pp. 788552. https://doi.org/10.3389/fpsyg.2021.788552
- Javaid M., Haleem A., Singh R. P., Khan S., Suman R. An extensive study on Internet of Behavior (IoB) enabled Healthcare-Systems: Features, facilitators, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2022, vol. 2, iss. 4, pp. 100085. https://doi.org/10.1016/j.tbench.2023.100085
- Li Y., Qi X., Saudagar A. K. J., Badshah A. M., Muhammad K., Liu S. Student behavior recognition for interaction detection in the classroom environment. Image and Vision Computing, 2023, vol. 136, pp. 104726. https://doi.org/10.1016/j.imavis.2023.104726
- Zhang L., Wang Y., Yan K., Su Y., Alharbe N., Feng S. Behaviour recognition based on the integration of multigranular motion features in the Internet of Things. Digital Communications and Networks, 2022. https://doi.org/10.1016/j.dcan.2022.10.011
- Shatkin M. A., Orlov M. O. Internet of Behavior: Types, models, principles. Vestnik of Saint Petersburg University. Philosophy and Confl ict Studies, 2023, vol. 39, iss. 2, pp. 368–380 (in Russian). https://doi.org/10.21638/spbu17.2023.212
- Pantsar M. Developing Artificial Human-Like Arithmetical Intelligence (and Why). Minds & Machines, 2023, vol. 33, iss. 3, pp. 379–396. https://doi.org/10.1007/s11023-023-09636-y
- Shatkin M. A. The agency of digital platforms: A value-based approach. Izvestiya of Saratov University. Philosophy. Psychology. Pedagogy, 2022, vol. 22, iss. 3, pp. 293–297 (in Russian). https://doi.org/10.18500/1819-7671-2022-22-3-293-297
