Organoid concept of technology

Cover Page

Cite item

Abstract

The phenomenon of technology is examined in the context of developers implementing a human-machine approach to the co-evolution of actual being with the structures of potential being. This approach realizes a new reading of ontology through the categorical structures of the anthropology of the extended human. Cognitive artifacts are introduced into the body of the extended human. They assume important functions of communication and coordination between the individual and the external environment. As a result, a new architecture of cognitive structures, dominated by fuzzy logic thinking, is formed within the body of the extended human through artificial intelligence technologies. The primary carriers of this logic are chat bots and AI agents. Their growing role has raised questions about the prospects for them to acquire subject status. However, the bias of AI agents, despite the potential for using theory of mind, has shifted this question to the context of the simulation hypothesis. This hypothesis implies that developers will have to be personally responsible for the developments they implement and their use.

About the authors

Aleksandr I. Loiko

Belarusian National Technical University

Author for correspondence.
Email: loiko@bntu.by
SPIN-code: 7229-1438

Doctor of Philosophy, Professor, Head of the Department of Philosophical Teachings

Belarus, Minsk

References

  1. Loiko A.I. Post-non-classical philosophy of technology and cybernetic anthropology. Bulletin of Samara State Technical University. Series "Philosophy". 2025;7(1):80-89.
  2. Loiko A.I. Data Ontology. Minsk: BNTU, 2025. 73 p.
  3. Loiko A.I. Artificial Intelligence Agents: Philosophy and Ethics: a textbook on the academic discipline "Philosophy and Methodology of Science" for master's students of all specialties. Minsk: BNTU, 2025. 62 р.
  4. Lojko A. Biases of natural and artificial intelligence: Social costs and risks. Our Knowledge Publishing, 2024. 96 p.
  5. Lojko A. Sesgos de la inteligencia natural y artificial: Costes y riesgos sociales. Ediciones Nuestro Conocimiento, 2024. 108 p.
  6. Bengio Y., Hinton G., Yao A. [et al.]. Managing extreme AI risks amid rapid progress. Science. 2024;384(6698):842–845. Available from: https://doi.org/10.1126/science.adn0117
  7. Bernardi J., Mukobi G., Greaves H., Heim L., Anderljung, M. Societal Adaptation to Advanced AI. Available from: https://arxiv.org/abs/2405.1029
  8. Hess A., Kjeldsen J.E. (Eds.). Ethos, Technology, and AI in Contemporary Society: The Character in the Machine. Taylor and Francis. Available from: https://www.taylorfrancis.com/books/edit/10.4324/9781032688503/ethos-technology-ai-contemporary-society-aaron-hess-jens-kjeldsen
  9. Hooker J., Kim T.W. Truly autonomous machines are ethical. AI Magazine. 2019; 40(4):66-73. Available from: https://doi.org/10.1609/aimag.v40i4.2863
  10. Jiang B., Xie Y., Wang X. [et al.]. Multi-modal and multi-agent systems meet rationality: A survey. ICML 2024 Workshop on LLMs and Cognition. Available from: https://arxiv.org/html/2406.00252v2S7
  11. Malik F.H., Lehtonen, M. A review: Agents in smart grids. Electric Power Systems Research. 2015;131:71-79. Available from: https://doi.org/10.1016/j.epsr.2015.10.004
  12. Lojko A. Vorurteile der natürlichen und künstlichen Intelligenz. – Verlag Unser Wissen, 2024. – 116 с. – EAN/UPC 9786207727711.
  13. Lojko A. Biais de l'intelligence naturelle et artificielle. Editions Notre Savoir, 2024. 112 р. – EAN/UPC 9786207727803.
  14. Lojko A. I pregiudizi dell'intelligenza naturale e artificiale. Edizioni Sapienza, 2024. 104 р. – EAN/UPC 9786207727865.
  15. Lojko A. Preconceitos da inteligência natural e artificial. Edicoes Nosso Conhecimento, 2024. 104 р. – EAN/UPC 9786207727889.

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2025 Loiko A.I.

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

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).