Developing an ai recruitment trust index: five-dimensional framework for recruitment processes

Abstract

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.