ISSN 2181-4570 Open Access · Peer Reviewed
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Keywords

artificial intelligence
machine learning
deep learning
automation
technology

How to Cite

Modern Education and the Challenges of Artificial Intelligence. (2026). Journal of Universal Science Research, 4(Maxsus son-3), 469-475. https://doi.org/10.66301/mwwecs59

Abstract

This article analyzes the theoretical foundations, stages of development, key technologies, and applications of artificial intelligence in various fields. It examines the impact of artificial intelligence on economics, education, medicine, and transportation. The findings demonstrate that while artificial intelligence improves efficiency, it also creates new social and ethical challenges.
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References

Stuart Russell, Peter Norvig. Artificial Intelligence: A Modern Approach. — Pearson Education, 2021.

Ian Goodfellow, Yoshua Bengio, Aaron Courville. Deep Learning. — MIT Press, 2016.

Tom Mitchell. Machine Learning. — McGraw-Hill, 1997.

Andrew Ng. Machine Learning course materials — Stanford University, 2020.

IBM. Artificial Intelligence Overview — official website materials.

Microsoft. AI for Everyone — educational resources.

OpenAI. Artificial intelligence technologies, articles, and reports.

UNESCO. Ethics of Artificial Intelligence — 2021.

World Economic Forum. The Future of Jobs Report — 2023.

Google. AI and Machine Learning documents and applications.

Ministry of Digital Technologies of the Republic of Uzbekistan. Official publications and reports.

Internet sources: www.ibm.com, www.microsoft.com, www.openai.com, www.coursera.org

Creative Commons License

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

Copyright (c) 2026 Shaxnoza Donayeva

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