Sun’iy intellekt taraqqiyoti sharoitida zamonaviy falsafaning metodologik funksiyasi istiqbollari

Prospects for the methodological function of modern philosophy in the context of artificial intelligence development

Main Article Content

Baxtiyor Omanovich Turayev
O‘lmasbek Umaraliyevich Karimov
Gulnoza Yigitaliyevna Karimova

Abstract

This article examines the methodological function of contemporary philosophy and its development prospects in the context of the rapid advancement of artificial intelligence from a philosophical perspective. In particular, it analyzes the transformations taking place in philosophical thought and methodological approaches under the influence of digitalization, the widespread adoption of intelligent technologies, and the integration of artificial intelligence into various spheres of human activity. Furthermore, the article explores the ontological, epistemological, axiological, and ethical foundations of artificial intelligence, the relationship between human and machine thinking, the limits of the cognitive process, and the correlation between human consciousness and the capabilities of artificial intelligence. It substantiates the significance of the methodological function of contemporary philosophy in critically understanding the nature of technological progress, safeguarding the interests of individuals and society, and establishing moral values and criteria for social responsibility. The study reveals that, in the context of artificial intelligence development, philosophy serves not only as a system of theoretical knowledge but also as a crucial methodological foundation for ensuring the humanistic orientation of technological development.

Article Details

Section

Section 4. Social sciences and humanities

How to Cite

Turayev, B. O., Karimov, O. U., & Karimova, G. Y. (2026). Prospects for the methodological function of modern philosophy in the context of artificial intelligence development. Partner Conferences of the International Scientific Journal Research Focus, 1(9), 60-64. https://doi.org/10.66073/ReFocus-Conf/051111

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