ARTIFICIAL INTELLIGENCE METHODS IN ISSUES OF COMMERCIALIZATION OF DIGITAL ECONOMY

Ismoilova Maftuna

Authors

Ismoilova Maftuna Chief researcher at International Cooperation Department, National office for Innovation Implementation and Technology, Transfer under the Ministry of Higher Education, Science and Innovations of the Republic of Uzbekistan Author

Keywords:

artificial intelligence, machine learning, digital economy, technology policy, ethics

Abstract

This paper examines the role of artificial intelligence (AI) methods in addressing issues related to the commercialization of the digital economy. As the digital economy continues to grow rapidly, challenges have emerged regarding privacy, security, regulation, and equitable access. However, the increasing use of AI also raises new questions around transparency, bias, and accountability. Successful commercialization requires balancing innovative applications of AI with ethical considerations and effective governance. This paper reviews literature on AI techniques, digital economy commercialization factors, and policy responses in order to analyze opportunities, challenges, and potential directions at the intersection of these domains. The commercial success of the digital economy will depend on how well issues of trust, fairness, and societal impact can be managed as AI integration accelerates. More interdisciplinary research is needed to develop AI systems that are both economically viable and socially responsible.