"Eternal Youth": the Ethics of an Ideological Alliance Between Youth and Artificial Intelligence
Abstract
The article is devoted to the study of axiological aspects of young people's interaction with digital technologies and artificial intelligence (AI) in the conditions of rapid digitalization of modern society. The authors emphasize that young people, being the main driver and beneficiary of technological innovations, face the need to form new moral and ethical models of using digital services and AI. The article analyzes socio-psychological characteristics of youth, such as increased interest in technology, propensity for quick ethical judgments and susceptibility to mythological narratives, which makes them a key subject in the process of AI adaptation in social life. The authors highlight both positive and negative aspects of young people's interaction with AI. On the one hand, AI has the potential to improve educational processes and increase research efficiency, but on the other hand, it raises concerns about digital dependency, decreased critical thinking, and emotional isolation. Special attention is paid to the phenomenon of "emotional bubbles", when AI companions create an illusion of emotional connection, which can negatively affect the ability to empathy and the formation of moral norms. The article proposes three basic principles of the ideology of interaction with AI: subject-centeredness, transparency and transhumanism. These principles are aimed at ensuring the ethical use of technology, where the human being remains the central subject and AI acts as a tool to i…
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Using LLM-CBs for emotional regulation may hinder the development of adaptive emotion regulation skills.
“Using LLM-CBs for emotional regulation may also hinder the development of adaptive emotion regulation skills.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [53]
Children and adolescents may miss out on navigating new social situations if LLM-CBs are preferred as social interaction partners.
“Children and adolescents may miss out on navigating new social situations if LLM-CBs are preferred as social interaction partners.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [53]
One article argued that excessive use of LLM-CBs may impact child and adolescent social and emotional development.
“It has been argued by one article that excessive use of LLM-CBs may impact child and adolescent social and emotional development53: Children and adolescents may miss out on navigating new social situations if LLM-CBs are preferred as social interaction partners.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [53]
One article argues that the use of LLM-CBs as cognitive tools may especially impact child and adolescent cognitive development due to being in more vulnerable stages of development.
“One article argues that the use of LLM-CBs as cognitive tools may especially impact child and adolescent cognitive development due to being in more vulnerable stages of development53.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [53]
Social interactions with LLM-CBs do not represent human-to-human interactions, which may impair the development of social skills.
“Furthermore, social interactions with LLM-CBs do not represent human-to-human interactions, which may impair the development of social skills.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [53]
Cites
Ethics of AI in Education: Towards a Community-Wide Framework
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., et al. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-021-00239-1 · Cited by 1,437 · see citing works
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581388 · Cited by 893 · see citing works
Persuasive Technology and computational manipulation: hypernudging out of mental self-determination
Faraoni, S. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1216340 · Cited by 31 · see citing works
Personal AI, deception, and the problem of emotional bubbles
Mlonyeni, P. M. T. (2024) · AI & Society · doi:10.1007/s00146-024-01958-4 · Cited by 30 · see citing works
Shalaby, A. (2024) · Digital Economy and Sustainable Development · doi:10.1007/s44265-024-00042-5 · Cited by 29 · see citing works
“How I would like AI used for my imaging”: children and young persons’ perspectives
Lee, L., Salami, R. K., Martin, H. M., Shantharam, L., Thomas, K., Ashworth, E., Allan, E., Yung, K.-W., Pauling, C., Leyden, D., et al. (2024) · European Radiology · doi:10.1007/s00330-024-10839-9 · Cited by 25 · see citing works
Sung, G., Guillain, L. V., & Schneider, B. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00455-5 · Cited by 24 · see citing works
Anik, M. H., Raaz, S. N. C., & Khan, N. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00438-6 · Cited by 22 · see citing works
How Virtual Personal Assistants Influence Children’s Communication
Bylieva, D. S., Bekiroğulları, Z., Lobatyuk, V. V., & Nam, T. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-65857-1_12 · Cited by 21 · see citing works
Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them
Yadav, N. (2023) · Journal of Digital Technologies and Law · doi:10.21202/jdtl.2023.41 · Cited by 20 · see citing works
Realities vs expectations: children’s perception and imagination of AI
Cai, L. (2024) · International Journal of Technology and Design Education · doi:10.1007/s10798-024-09879-5 · Cited by 16 · see citing works
Are the robots taking over? On AI and perceived existential risk
Hilliard, A., Kazim, E., & Ledain, S. (2024) · AI and Ethics · doi:10.1007/s43681-024-00600-9 · Cited by 16 · see citing works
Existence hacked: meaning, freedom, death, and intimacy in the age of AI
Andreescu, F. C. (2024) · AI & Society · doi:10.1007/s00146-024-02052-5 · Cited by 12 · see citing works
ChatGPT as a tool to improve access to knowledge on sexually transmitted infections
Koh, M. C. Y., Ngiam, J. N., Tambyah, P. A., & Archuleta, S. (2024) · Sexually Transmitted Infections · doi:10.1136/sextrans-2024-056217 · Cited by 11 · see citing works
Moral Transparency as a Mitigator of Moral Bias in Conversational User Interfaces
Wester, J., Lee, M., & van Berkel, N. (2023) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3571884.3603752 · Cited by 9 · see citing works
NEURAL NETWORKS: APPLICATION, ETHICS AND LAW ISSUES
Анатольевна, Ф. И. (2023) · Bulletin of the South Ural State University series Law · doi:10.14529/law230411 · Cited by 9 · see citing works
Жить с Алисой: как голосовые помощники трансформируют практики коммуникации?
Ушкин, С. Г., Koval, E. A., & Яськин, А. (2022) · The Journal of Social Policy Studies · doi:10.17323/727-0634-2022-20-3-361-376 · Cited by 7 · see citing works
Arkhipov, V. V. (2022) · Zakon · doi:10.37239/0869-4400-2022-18-3-58-74 · Cited by 7 · see citing works
Trust and generative AI: embodiment considered
Zhu, K. (2024) · AI and Ethics · doi:10.1007/s43681-024-00611-6 · Cited by 5 · see citing works
The Communicative Function of Law in a Digital State
Валерьевич, Д. В. (2023) · Kutafin Law Review · doi:10.17803/2713-0533.2023.2.25.495-514 · Cited by 2 · see citing works
Danesi, M. (2024) · Springer eBooks · doi:10.1007/978-3-031-54752-2_8 · Cited by 2 · see citing works
Neural networks as an actor of socio-epistemic arenas: ethical problems
Tikhonova, S. V., & Artamonov, D. S. (2024) · Philosophy of Science and Technology · doi:10.21146/2413-9084-2024-29-1-73-83 · Cited by 2 · see citing works
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A scoping review on the mental health harms of LLM-based chatbots
Diel, A., Torous, J., Cuijpers, P., Kleesiek, J., Nensa, F., Weber, N., Faust, F., Lalgi, T. J., Mellis, F. S., Teufel, M., et al. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-03054-x · Cited by 4 · see citing works
- Authors
- Artamonov, D. S., Nevvazhay, I. D., Suslov, I. V., Syusyukin, V. A., & Tikhonova, S. V.
- Affiliations
- Saratov State University (RU)
- Saratov State Law Academy,Department of Philosophy,Saratov,Russia
- Venue
- 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)
- Publisher
- IEEE
- Published
- 2025-05-12
- Pages
- 312-316
- OpenAlex
- W4411950405
- Cited by
- 1
- References
- 22
- Citations by year
- 2026: 1
- FWCI
- 1.03
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) (publishedVersion)
- Funders
- Russian Science Foundation
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Social Sciences › Sociology and Political Science › Sociopolitical Dynamics in Russia
- Keywords
- AI ethics, digitalization, axiology, digital dependence, critical thinking, emotional isolation, AI companions, empathy, transhumanism, transparency
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