Artificial Intelligence in Recruitment, A Systematic Literature Review on Trends, Challenges, and Future Directions

Hafidz Mufti; Julias Penata Utama; Muh Agil Nuruz Zaman

doi:10.59934/jaiea.v5i2.2062

Authors

Hafidz Mufti Universitas Indonesia
Julias Penata Utama Universitas Indonesia
Muh Agil Nuruz Zaman Universitas Indonesia

DOI:

https://doi.org/10.59934/jaiea.v5i2.2062

Keywords:

artificial intelligence, employee recruitment, literature review, ethical challenges

Abstract

This study aims to examine the scientific literature on the use of artificial intelligence (AI) in the employee recruitment process, with a focus on current trends, existing challenges, and future development directions. Using a systematic literature review approach, the study filters scholarly articles from reputable databases such as Scopus and Web of Science, applying inclusion criteria that consist of English-language publications, published within the last 20 years (2005–2025), and specifically focused on the use of AI in recruitment. Articles that are duplicated, irrelevant to the topic of recruitment, or not peer-reviewed were excluded from the analysis. The main findings indicate that AI offers efficiency in applicant screening, reduces human bias, and enhances the candidate experience. However, significant challenges also emerge, including algorithmic bias, ethical concerns, and organizational resistance to adopting new technologies. Recent trends point to a shift toward the use of machine learning, recruitment chatbots, and predictive analytics in HR decision-making. This study provides a theoretical contribution by synthesizing and categorizing prior research findings, and a practical contribution for HR practitioners in understanding the potential and risks of AI implementation. It also fills a gap in the literature by addressing the lack of a comprehensive synthesis that systematically maps the development of AI research in recruitment.

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