Abstract
<jats:p>The article is devoted to the theoretical substantiation and practical application of artificial intelligence (AI) in the training of interpreters for the Chinese-Russian language pair. The research aims to develop and describe algorithms for exercises using AI technologies within the framework of interpreter training. The article examines the theoretical basis and practical application of AI technologies in interpreting instruction and analyzes the functionality of neural networks in solving educational tasks. The scientific novelty of the study lies in the proposed classification of interpreting exercise types and the algorithms for their execution, illustrated with specific examples involving AI; furthermore, criteria for selecting applications were formulated, and a list of platforms available to users was identified. The study established that artificial intelligence is an effective and convenient system for conducting interpreting training exercises, helping to facilitate and streamline the learning process.</jats:p>