Developing an ai recruitment trust index: five-dimensional framework for recruitment processes
DOI:
https://doi.org/10.34079/2518-1394-2025-15-30-35-47Ключові слова:
artificial intelligence, human resource management, recruiting, automation, algorithmic bias, discrimination, hiring fairness, AI-based hiring, AI-enabled recruiting, AI-driven recruitment, штучний інтелект, управління персоналом, рекрутинг, автоматизація, алгоритмічна упередженість, дискримінація, справедливість найму, AI‑рекрутинг, довіра до ШІАнотація
This study reviews current approaches to artificial intelligence (AI) implementation in human resource management, with a focus on recruitment, and identifies four dominant research paradigms: technocentric, organisational-psychological, ethical-legal, and interdisciplinary. Based on a synthesis of theoretical sources and analysis of organisational practices, authors refined a conceptual approach to recruitment using artificial intelligence, integrating five key dimensions: technological efficiency and reliability, fairness and non-discrimination, privacy and data security, transparency and explainability, and human-centredness. Authors proposed AI Recruitment Trust Index as an integral indicator that aggregates assessments across all five dimensions through a system of weighted coefficients. The practical value of the study lies in providing tools for developing internal policies and the responsible implementation of artificial intelligence in recruitment processes.
