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Integration Of Artificial Intelligence And Digital Technologies Into Economic Industries: Efficiency Evaluation And Technological Security Assurance

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  • Nilufar Ashurova Yuldosh kizi
  • Khurshidjon Tillaev Sulaymon o‘g‘li

Abstract

This article examines the processes of widespread implementation of artificial intelligence and digitaltechnologies across various sectors of the economy within the context of globalization and rapid digital transformation.The study focuses on the role of these technologies in enhancing production efficiency, optimizing resource utilization,and improving management systems. Particular attention is given to the application of artificial intelligence in key sectorssuch as industry, agriculture, healthcare, finance, and education, where it enables automation, advanced data analysis,and more effective decision-making processes. Furthermore, the research explores methodological approaches toevaluating the effectiveness of digital technologies, including performance indicators, analytical models, and comparativeassessment techniques. The study also highlights the economic and social impacts of digital transformation, emphasizingits contribution to innovation, competitiveness, and sustainable development. Significant attention is devoted totechnological security issues, including cybersecurity, data protection, and the ethical use of artificial intelligence. Thepaper identifies key challenges related to system integration, data privacy, and the shortage of qualified specialists, whichmay hinder the successful implementation of these technologies.

Suggested Citation

  • Nilufar Ashurova Yuldosh kizi & Khurshidjon Tillaev Sulaymon o‘g‘li, 2026. "Integration Of Artificial Intelligence And Digital Technologies Into Economic Industries: Efficiency Evaluation And Technological Security Assurance," GREEN ECONOMY AND DEVELOPMENT, "Ma'rifat-Print-Media" LLC, Tashkent State University of Economics, vol. 4, April.
    • Handle: RePEc:teu:ged000:v:4:y:2026:id:11068
    DOI: 10.5281/zenodo.20730328
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    References listed on IDEAS

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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
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