AI Integration in Screening and Selection: The Impact of Perception of Fairness, Trust, and Usability in the Acceptability of HR Employees in Metro Manila

Frances Jezreel Marco; Caryle Agngarayngay; Charles Emmanuel Tan; Sasan Iman Latifi; Mary Grace Villamor-Evangelista

doi:10.47742/ijbssr.v7n3p2

Authors

Frances Jezreel Marco University of Santo Tomas
Caryle Agngarayngay University of Santo Tomas
Charles Emmanuel Tan University of Santo Tomas
Sasan Iman Latifi University of Santo Tomas
Mary Grace Villamor-Evangelista University of Santo Tomas

DOI:

https://doi.org/10.47742/ijbssr.v7n3p2

Keywords:

Algorithmic Ethical Perception, Technology Acceptance Model, Recruitment, Black-box, Artificial Intelligence, Screening and Selection, Perception

Abstract

The study examined how perceptions of fairness, trust, and usability predicted the acceptance of artificial intelligence integration in the screening and selection process. Researchers administered a cross‑sectional survey to 140 human resource professionals in Metro Manila who possessed experience using artificial intelligence in screening and selection. Multiple linear regression and partial least squares structural equation modeling were employed to develop the emerging structural model and obtain standardized coefficients. Findings revealed that usability significantly predicted acceptability, while trust predicted it to a slightly weaker extent. Fairness did not retain significance when it was entered alongside the other predictors. These findings suggested that human resource employees prioritized user-friendly and trustworthy artificial intelligence, which is critical for successful integration. The results highlighted the need for transparency, training, and support within the human resources department to better prepare staff for fostering ethical and effective integration of artificial intelligence in the workplace.

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Author Biographies

Frances Jezreel Marco, University of Santo Tomas

College of Commerce and Business Administration, Student

Caryle Agngarayngay, University of Santo Tomas

College of Commerce and Business Administration, Student

Charles Emmanuel Tan, University of Santo Tomas

College of Commerce and Business Administration, Student

Sasan Iman Latifi, University of Santo Tomas

College of Commerce and Business Administration, Student

Mary Grace Villamor-Evangelista, University of Santo Tomas

College of Commerce and Business Administration, Instructor

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