{"id":4630,"date":"2025-08-02T07:53:33","date_gmt":"2025-08-02T07:53:33","guid":{"rendered":"https:\/\/interfinance.tsue.uz\/?p=4630"},"modified":"2025-08-02T07:54:15","modified_gmt":"2025-08-02T07:54:15","slug":"prospects-for-the-introduction-of-artificial-intelligence-technologies-in-the-banking-system-of-uzbekistan","status":"publish","type":"post","link":"https:\/\/interfinance.tsue.uz\/?p=4630","title":{"rendered":"PROSPECTS FOR THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE BANKING SYSTEM OF UZBEKISTAN"},"content":{"rendered":"<p>Juraeva Sevara Zakirovna<br \/>\nPh.D, head of corporate credit underwriting division<br \/>\nof the credit department of \u201cTrustbank\u201d PSJB<br \/>\nE- mail:   s.jurayeva@trustbank.uz; ORCID  0000-0002-5308-379X<br \/>\nAbstract: This article explores the integration of artificial intelligence (AI) technologies into the banking system, focusing on their practical applications and the challenges faced. In recent years, the digital transformation of the banking sector has accelerated, pushing financial institutions to adopt innovative AI tools. AI is being actively implemented in areas such as customer service, credit risk management, and fraud detection. The article analyzes both international practices and local applications within Uzbekistan\u2019s banking sector. The article also examines regulatory challenges related to transparency, data protection, and algorithmic bias. Machine learning models used in credit analysis contribute to optimizing loan portfolios. As a result, AI adoption reduces operational costs and enhances responsiveness to customer needs. However, successful implementation requires a supportive infrastructure, qualified personnel, and an updated legal framework.<br \/>\nKeywords: Artificial intelligence, banking system, digital transformation, fraud detection, credit risk, Uzbekistan banks, automated services, chatbot, algorithmic bias, financial technologies.<\/p>\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/interfinance.tsue.uz\/wp-content\/uploads\/2025\/08\/10Jurayeva-Sevara.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of 10++Jurayeva Sevara.\"><\/object><a id=\"wp-block-file--media-73c79ae1-1b1a-4060-b731-4d10875f20a0\" href=\"https:\/\/interfinance.tsue.uz\/wp-content\/uploads\/2025\/08\/10Jurayeva-Sevara.pdf\">10++Jurayeva Sevara<\/a><a href=\"https:\/\/interfinance.tsue.uz\/wp-content\/uploads\/2025\/08\/10Jurayeva-Sevara.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-73c79ae1-1b1a-4060-b731-4d10875f20a0\">Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Juraeva Sevara Zakirovna Ph.D, head of corporate credit underwriting division of the credit department of \u201cTrustbank\u201d PSJB E- mail: s.jurayeva@trustbank.uz; ORCID 0000-0002-5308-379X Abstract: This article explores the integration of artificial intelligence (AI) technologies into the banking system, focusing on their <a href=\"https:\/\/interfinance.tsue.uz\/?p=4630\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[68],"tags":[],"class_list":["post-4630","post","type-post","status-publish","format-standard","hentry","category-2025-2-issue-1-6"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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