ARTIFICIAL INTELLIGENCE: CURRENT STATE, CHALLENGES, AND FUTURE PROSPECTS

Authors

  • Kodirov Vosit Mansurovich

    Researcher

    Author

Keywords:
Artificial intelligence, machine learning, neural networks, digital transformation, AI ethics, education.
Abstract

Artificial intelligence (AI) has rapidly evolved from a narrow field of academic research into a transformative technology shaping modern science, the economy, and education. This article examines contemporary approaches to the development of intelligent systems, key application domains of AI, and the major ethical, social, and technological challenges faced by the global community. Particular attention is given to the prospects for AI development and its role in shaping a data-driven digital future, with a specific focus on education and learning analytics.

Downloads
Published
2026-01-28
Issue
Vol. 2 No. 1 (2026)
Section
Articles
License
Creative Commons License

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

How to Cite

ARTIFICIAL INTELLIGENCE: CURRENT STATE, CHALLENGES, AND FUTURE PROSPECTS. (2026). Eureka Journal of Artificial Intelligence and Data Innovation, 2(1), 7-12. https://eurekaoa.com/index.php/11/article/view/306