SCIENTIFIC AND PRACTICAL SIGNIFICANCE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN DETERMINING THE POVERTY LINE
Keywords:
artificial intelligence, poverty line, media data, digital transformation, social policy.Abstract
This thesis examines the scientific and practical significance of artificial intelligence (AI) technologies in analyzing socio-economic processes, particularly in determining the poverty line through the integration of media and digital data. The study compares traditional statistical approaches with AI-based models, analyzes the experience of developed countries, and evaluates the prospects for implementing these approaches in Uzbekistan. The results show that artificial intelligence technologies enhance accuracy, timeliness, and adaptability in poverty measurement, thereby contributing to more effective formulation of state social policies.
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