Visible and Invisible Artificial Intelligence in HR Processes: An Attitude Study Based on the Technology Acceptance Model (TAM)
DOI:
https://doi.org/10.32976/stratfuz.2026.7Keywords:
artificial intelligence, HR management, recruitment, technology acceptance, invisible AIAbstract
The integration of Artificial Intelligence (AI) in Human Resource Management is fundamentally redefining recruitment and selection strategies. This study aims to examine the attitudes of HR decision-makers toward AI-based tools, with a particular focus on the concept of "invisible AI" (background automation) discussed in the research. The theoretical framework is provided by the extended Technology Acceptance Model (TAM), supplemented by the issues of algorithmic reductionism and transparency. The empirical research is based on a survey (n = 202), with data analyzed using descriptive statistics, Chi-square tests, and Kruskal-Wallis tests. The findings highlight that professional experience, organizational size, and sectoral affiliation significantly influence the perception of technology. While AI is primarily valued as an efficiency-enhancing tool, serious concerns arise regarding the neglect of human factors and the lack of process transparency (black box effect). The study formulates practical recommendations for increasing transparency and maintaining human control in future HR strategies.
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