PERSPECTIVES AND CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION IN MODERN SOCIETY
PDF

Keywords

Artificial Intelligence, Machine Learning, Digital Transformation, Algorithmic Bias, Automation, Ethics of AI, Fourth Industrial Revolution.

How to Cite

Khakimbekov Doniyorbek. (2026). PERSPECTIVES AND CHALLENGES OF ARTIFICIAL INTELLIGENCE APPLICATION IN MODERN SOCIETY. Kelajak Texnologiyalari Va sun’iy Intellekt, 1(2), 71-74. https://doi.org/10.5281/zenodo.20329377

Abstract

This paper explores the rapid integration of Artificial Intelligence (AI) technologies into various sectors of modern society, acting as a primary catalyst for the Fourth Industrial Revolution. While AI offers unprecedented opportunities for business optimization, predictive analytics, healthcare diagnostics, and personalized education, its mass adoption introduces critical challenges. The study analyzes both the positive impacts of machine learning and deep neural networks, and the accompanying socio-ethical risks. Particular attention is given to the "black box" problem of algorithmic transparency, AI bias, data privacy concerns, and potential shifts in the global labor market due to automation. The paper concludes that maximizing the benefits of AI requires the immediate development of robust legal frameworks and ethical standards to ensure safe and human-centric technological progress.

PDF

References

1. Шваб К. Четвертая промышленная революция. – М.: Эксмо, 2016. – 208 с.

2. Рассел С., Норвиг П. Искусственный интеллект: современный подход (Artificial Intelligence: A Modern Approach). 3-е изд. – М.: Вильямс, 2019. – 1408 с.

3. Бостром Н. Искусственный интеллект. Этапы. Угрозы. Стратегии. – М.: Манн, Иванов и Фербер, 2016. – 496 с.

4. Goodfellow I., Bengio Y., Courville A. Deep Learning. – Cambridge: MIT Press, 2016. – 800 p.

5. Jobin A., Ienca M., Vayena E. The global landscape of AI ethics guidelines // Nature Machine Intelligence. – 2019. – Vol. 1. – No. 9. – P. 389-399.