Artificial Intelligence in the Conduct of Search Operations: Legal, Organizational, and Technological Aspects

Abstract

This article examines the possibilities and limitations of using artificial intelligence (AI) in the conduct of search operations. It analyzes modern technologies of machine learning, intelligent data analytics, pattern recognition, and predictive modeling employed by law enforcement agencies to determine the whereabouts of wanted persons, identify criminal connections, and prevent crimes. A comparative legal analysis of Uzbekistan, the European Union, and the United States is included, highlighting regulatory frameworks, ethical considerations, and data protection standards. The study proposes improvements to legal regulation, ethical oversight, and practical implementation of AI in search operations. The findings demonstrate that AI can enhance operational efficiency while maintaining human rights protections when proper oversight mechanisms are applied.