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ARTIFICIAL INTELLIGENCE: THEORY, DEVELOPMENT STAGES, AND SOCIETAL IMPLICATIONS

Rushana Sa’dullayeva , Lecturer at the Uzbekistan University of Journalism and Mass Communications
Ulugbek Sharobiddinov , Undergraduate Student at the Uzbekistan University of Journalism and Mass Communications

Abstract

This article explores artificial intelligence (AI) as a complex scientific and socio-technological phenomenon, focusing on its theoretical foundations, historical development stages, and its growing role in shaping contemporary society. The study examines the transition from symbolic AI to machine learning and generative models, highlighting the interdisciplinary nature of the field. It also analyzes the interaction between AI technologies and social structures, including ethical challenges, economic transformation, and sustainability concerns. The paper argues that AI is not merely a technological advancement but a transformative force influencing human cognition, social relations, and global development trajectories.

 

Keywords

artificial intelligence, machine learning, deep learning, generative AI, digital transformation, ethics, automation, sustainability, society

References

Russell, S., & Norvig, P. Artificial Intelligence: A Modern Approach. – Pearson, 2021.

Goodfellow, I., Bengio, Y., & Courville, A. Deep Learning. – MIT Press, 2016.

Floridi, L. Ethics of Artificial Intelligence. – Oxford University Press, 2022.

Brynjolfsson, E., & McAfee, A. The Second Machine Age. – W.W. Norton & Company, 2014.

UNESCO. Recommendation on the Ethics of Artificial Intelligence. – 2021.

World Economic Forum. The Future of Jobs Report. – 2025.

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How to Cite

ARTIFICIAL INTELLIGENCE: THEORY, DEVELOPMENT STAGES, AND SOCIETAL IMPLICATIONS. (2026). International Journal of Artificial Intelligence, 6(5), 1278-1281. https://www.academicpublishers.org/journals/index.php/ijai/article/view/13426