PHILOSOPHICAL ANALYSIS OF THE RELATIONSHIP BETWEEN HUMAN AND MACHINE MORALITY IN THE CONTEXT OF ETHICAL CHALLENGES OF ARTIFICIAL INTELLIGENCE
Abstract
The article deals with a comprehensive analysis of the problem of the correlation between human and machine morality in the context of rapid development and spread of artificial intelligence technologies. It addresses the ethical challenges facing modern society regarding the emergence of algorithms capable of making decisions that have moral consequences, and outlines the potential role of machines as moral agents.
The article provides a comparative review of leading foreign concepts of machine ethics, covering classical reflections on the total nature of technologies and contemporary research focusing on the artificial intelligence moral status, machine intentionality, the risks of algorithm self-improvement, and the need to introduce ethical regulation mechanisms. There is an emphasis on the impossibility of machine morality due to the lack of subjective experiences in AI.
The paper highlights the peculiarities of Ukrainian academic discourse, which combines a normative-applied approach to artificial intelligence ethics with fundamental philosophical categories, including subjectivity, consciousness, and responsibility. The analysis allows one to conclude that national scientists focus mainly on the practical aspects of the artificial intelligence application, the development of ethical standards, institutional control mechanisms, and the improvement of users' ethical literacy.
There is an attempt to outline the prospects for integrating classical and modern philosophical approaches to machine ethics with the practical requirements of the national regulation of artificial intelligence, to identify theoretical guidelines and current tasks for further research in the field of machine ethics.
The article proves the importance of creating a national model of artificial intelligence ethics, identifies and characterizes its main components. It describes the practical application of the philosophical foundations of the national model of artificial intelligence, defines tasks, and emphasizes the importance of combining international experience with local cultural and ethical characteristics.
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References
Voronkova, V. H., & Nikitenko, V. O. (2022). Philosophy of the digital human and digital society: Theory and practice. Lviv-Toruń: Liha-Pres. Retrieved from https://dspace.znu.edu.ua/xmlui/handle/12345/6591
Dobrovolska, O. V., & Shtanko, V. I. (2019). Philosophical analysis of artificial intelligence evolution. Studies in history and philosophy of science and technology, 28(1), 10–19. https://doi.org/10.15421/271902
Diatlova, I., Patlaichuk, O., & Stupak, O. (2025). Ethical Challenges and Prospects for the Philosophy of Artificial Intelligence in the XXI century. Scientific and Theoretical Almanac Grani, 28(2), 66-71. https://doi.org/10.15421/172540
Karpenko, Y. V. (2019). Ethical principles of artificial intelligence application in public administration. Bulletin of the National Academy of Public Administration under the President of Ukraine. Series: Public Administration, (4), 93–97. Retrieved from http://nbuv.gov.ua/UJRN/vnaddy_2019_4_15
Melnyk, Y., Todorova, S., & Shevchenko, H. (2025). Philosophical understanding of artificial intelligence as technology. Philosophy and Governance, 3(7). https://doi.org/10.70651/3041-248X/2025.3.01
Pinchuk, O., & Malytska, I. (2024). Responsible and ethical use of artificial intelligence in research and publishing activities. Information Technologies and Learning Tools, 100(2), 45–57. https://doi.org/10.33407/itlt.v100i2.5676
Polishchuk, N., Poperechna, G., & Nikolenko, K. (2025). Ethical dilemmas of human–artificial intelligence interaction in the virtual spaces of the metaverse. Bulletin of Humanities, (8). https://doi.org/10.5281/zenodo.15616278
Ralchuk, O. (2003). Information society: Between the euphoria of temptations and the laws of the universe. National Academy of Sciences of Ukraine, (2), 36–50. Retrieved from http://nbuv.gov.ua/UJRN/vnanu_2003_2_7
Trach, Y. (2024). Discourse on artificial intelligence ethics: Features of formation and institutionalization. Digital Platform: Information Technologies in the Socio-Cultural Sphere, 7(2), 299–310. https://doi.org/10.31866/2617-796X.7.2.2024.317738
Khoruzha, L. (2025). Scientific ethics and integrity in the embrace of artificial intelligence. Pedagogical Education: Theory and Practice. Psychology. Pedagogy, 43(1), 6–12. https://doi.org/10.28925/2311-2409.2025.431
Shtanko, V. I. (2002). Information technologies and the problems of transformation of modern culture. In Culture of Ukraine: Collection of scientific papers. Art studies. Philosophy (Issue 10, 222 p.). Kharkiv: KhSAC.
Shtanko, V. I., & Bordyugova, T. H. (2012). Information society: Socio-philosophical problems of formation [Textbook]. Kharkiv: KhNURE.
Anderson, D. L. (2012). Machine intentionality, the moral status of machines, and the composition problem. In V. C. Müller (Ed.), The philosophy & theory of artificial intelligence (pp. 312–333). Berlin: Springer. Retrieved from https://philarchive.org/rec/ANDMIT-3
Boden, M. A. (2018). Artificial intelligence: A very short introduction. Oxford: Oxford University Press. Retrieved from https://academic.oup.com/book/415
Ellul, J. (1964). The technological society. New York: Alfred A. Knopf. Retrieved from https://voidnetwork.gr/wp-content/uploads/2021/09/The-Technological-Society-Jacques-Ellul.pdf
Floridi, L. (Ed.). (2019). Ethics, governance, and policies in artificial intelligence (Philosophical Studies Series, Vol. 144, 312 p.). Cham: Springer. Retrieved from https://content.e-bookshelf.de/media/reading/L-168717005ce6df8467.pdf
Heidegger, M. (2000). Vorträge und Aufsätze: Die Frage nach der Technik. Frankfurt am Main: Vittorio Klostermann. Retrieved from https://monoskop.org/images/2/27/Heidegger_Martin_1953_2000_Die_Frage_nach_der_Technik.pdf
Stahl, B. C., Schroeder, D., & Rodrigues, R. (2021). Ethics of artificial intelligence: Case studies and options for addressing ethical challenges. Cham: Springer. Retrieved from https://philpapers.org/rec/STAEOA-5, DOI 10.1007/978-3-031-17040-9
Turing, A. M. (1950). Computing machinery and intelligence. Mind, 49, 433–460. Retrieved from https://courses.cs.umbc.edu/471/papers/turing.pdf
Yampolskiy, R. V. (2013). Artificial intelligence safety engineering: Why machine ethics is a wrong approach. In V. C. Müller (Ed.), Philosophy and theory of artificial intelligence (pp. 389–396). Berlin: Springer. Retrieved from http://cecs.louisville.edu/ry/AIsafety.pdf, DOI 10.1007/978-3-642-31674-6_29
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