Modes Dehumanizing Digital Society
https://doi.org/10.18384/2949-5148-2025-4-120-130
Abstract
Aim. To identify the conditions for the transformation of algorithmizing which is understood as one of the processes of the ontogenesis of digital society into an inhuman socio-technological process.
Methodology. The research is based on interdisciplinary and activity-based approaches as two social-philosophical explanatory principles. The main method used is systems analysis, which is applied in combination with general scientific tools.
Results. It is established that the process of algorithmizing, which in the conditions of the capitalist system is inseparable from the process of commercialization and mutually stimulated by it, turns out to be, along with it, a mode dehumanizing digital society.
Research implications. The results of the research make it possible to understand new levels of alienation, which arose in the era of late capitalism, and stimulate efforts to further explore and conceptualize the ever-changing modes of dehumanizing society.
About the Author
V. Yu. Tatarov
Tver State Technical University
Russian Federation
Russian Federation
Vladimir Y. Tatarov () – Postgraduate Student, Department of Psychology, History and Philosophy
Tver
References
1. Smirnov, A. V. (2021). Digital Society: Theoretical Model and Russian Reality. In: Monitoring Public Opinion: Economic and Social Changes, 1, 129–153. DOI: 10.14515/monitoring.2021.1.1790 (in Russ.).
2. Parisi, L. (2015). Instrumental Reason, Algorithmic Capitalism, and the Incomputable. In: Alleys of Your Mind: Augmented Intelligence and Its Traumas. Lüneburg: Meson Press, pp. 125–137.
3. Dyer-Witheford, N., Kjøsen, A. M. & Steinhoff, J. (2019). Inhuman Power: Artificial Intelligence and the Future of Capitalism. London: Pluto Press (in Russ.).
4. Laruffa, F. (2022). Neoliberalism, Economization and the Paradox of the New Welfare State. In: European Journal of Sociology, 63 (1), 131–163. DOI: 10.1017/S0003975622000169.
5. Land, N., Mackay, R. & Fisher, M. (2017). A Nick Land Reader: Selected Writings. Anonymous Press.
6. Fazi, M. B. (2016). Incomputable Aesthetics: Open Axioms of Contingency. In: Computational Culture, 5. URL: http://computationalculture.net/incomputable-aesthetics-open-axioms-of-contingency (accessed: 12.15.2024).
7. Parisi, L. (2018). Learning to Learn or the Algorithmic Discovery of Information. In: Machine Learning – Media, Infrastructures and Technologies of Artificial Intelligence. Bielefeld: Verlag, pp. 93–114.
8. Pasquinelli, M. (2023). The Eye of the Master: A Social History of Artificial Intelligence. London; New York: Verso.
9. Turing, A. M. (2004). On Computable Numbers, with an Application to the Entscheidungsproblem. In: The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life plus The Secrets of Enigma. Oxford: Clarendon Press, pp. 58–90.
10. Fazi, M. B. (2019). Can a Machine Think (Anything New)? Automation Beyond Simulation. In: AI & Society, 34, 813–824. DOI: 10.1007/s00146-018-0821-0.
11. Fazi, M. B. (2021). Beyond Human: Deep Learning, Explainability and Representation. In: Theory, Culture & Society, 38 (7–8), 55–77. DOI: 10.1177/0263276420966386.
12. Benasayag, M. (2022). Il cervello aumentato, l’uomo diminuito. Torino: Il Margine.
13. Marx, K. & Engels, F. (1968). Works. Vol. 46. Pt. 1. Moscow: Political Literature publ. (in Russ.).
14. Kondrashov, P. N. (2024). The Philosophy of Karl Marx: Existential Anthropological Aspects. Moscow: URSS publ. (in Russ.).
15. Marx, K. & Engels, F. (1960). Works. Vol. 23. Moscow: Political Literature, 1960 publ. (in Russ.).
16. Marx, K. & Engels, F. (1956). From Early Works. Moscow: Political Literature publ. (in Russ.).
17. Leontiev, A. N. (2004). Activity. Consciousness. Personality. Moscow: Meaning publ., Academy publ. (in Russ.).
18. Leontiev, A. N. (1970). Automation and Man. In: Psychological Studies. Vol. 2. Moscow: Moscow University publ. pp. 3–12 (in Russ.).
19. Marx, K. & Engels, F. (1974). Works. Vol. 42. Moscow: Political Literature publ. (in Russ.).
20. Verdegem, P. (2022). Dismantling AI Capitalism: The Commons as an Alternative to the Power Concentration of Big Tech. In: AI & Society, 39, 727–737. DOI: 10.1007/s00146-022-01437-8 (in Russ.).
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