过程(计算)
业务
过程管理
计算机科学
知识管理
工程管理
运营管理
工程类
操作系统
出处
期刊:Ekonomìka transportnogo kompleksu
[Kharkiv National Automobile and Highway University]
日期:2025-03-28
卷期号: (45): 57-57
被引量:2
标识
DOI:10.30977/etk.2225-2304.2025.45.57
摘要
This article explores the impact of artificial intelligence (AI) on the recruitment process, which is rapidly transforming under the influence of technological progress. It analyzes the latest research in the field of artificial intelligence and HR technologies, as well as real-world cases of AI implementation in recruitment by leading companies worldwide and in Ukraine. The article examines various aspects of AI application in recruitment, from automating routine tasks such as resume screening and candidate search, to more complex uses such as social media analysis, candidate profiling, and conducting video interviews using emotion recognition technologies. The article delves into the ethical issues related to the use of AI in recruitment, particularly issues concerning data privacy, algorithm transparency, and potential discrimination. It also analyzes the potential risks of using AI, such as algorithmic errors, insufficient flexibility, and adaptability to labor market changes, as well as the need for integration with existing HR systems. Special attention is given to the impact of AI on the effectiveness and objectivity of the recruitment process. The study examines how AI can help improve recruiters' productivity, reduce recruitment costs, eliminate biases in candidate selection, and identify the best talent for companies. The role of AI in improving the candidate experience is also discussed. The article analyzes how AI can personalize communication with candidates, provide them with more relevant information, quickly respond to their inquiries, and generally make the job search process more pleasant and efficient. Based on the conducted analysis, the article outlines the advantages and disadvantages of using AI in recruitment and identifies the prospects for the development of this technology in the context of labor market changes. Ethical considerations, future trends, and the need for adaptation to new realities are taken into account.
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