title: Ð¡Ð¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾ÑÐµÑÑÐ° Ð¿Ð¾Ð´Ð±Ð¾ÑÐ° Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð° Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Recruitment process improvement using generative artificial intelligence
Creators: name: ÐÐ±ÑÐµÐ·ÐºÐ¾Ð²Ð°, ÐÐ»ÐµÐºÑÐ°Ð½Ð´ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»Ð¾Ð¼
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°
Ð±Ð¾Ð»ÑÑÐ¸Ðµ ÑÐ·ÑÐºÐ¾Ð²ÑÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸
Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð²Ð½ÑÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
human resource management
artificial intelligence
natural language processing
large language models
generative models
neural networks

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description: The given work is devoted to improving the recruitment process using generative artificial intelligence. The following tasks were solved: - to study a number of sources raising the issue of application of generative artificial intelligence to solve business problems in general and in the HR sphere; - to analyze the possibilities and limitations of generative artificial intelligence applied in HR sphere; - to develop an AI-assistant in order to automate routine tasks in the recruitment process; - to conduct an experiment to implement the AI-assistant in the real recruitment process and evaluate its effectiveness; - to develop recommendations on the use of the AI-assistant and generative artificial intelligence in general in order to improve the recruitment process. The relevance of the subject is determined by the companiesâ need to save resources in the recruitment process by using modern technologies. Research methods: the complex combination of theoretical (description, generalization) and practical (visualization, analysis, classification, comparison) research methods. The sources of information were data from domestic and foreign research literature, official Internet resources and analytical agencies. The study resulted with developing an AI-assistant for solving business tasks in the recruitment process has been developed that can be used in practice.