Use of Artificial Intelligence in Human Resource Management

(1) * Supriyadi Supriyadi Mail (IBI Darmajaya, Indonesia)
(2) Firmansyah Y.A Firmansyah Y.A Mail (IBI Darmajaya, Indonesia)
*corresponding author

Abstract


The abstract must be between 150–250 words. Be sure that you adhere
to these limits; otherwise, you will need to edit your abstract
accordingly. The abstract must be written as one paragraph, and should
not contain displayed mathematical equations or tabular. The use of
artificial intelligence (AI) in human resource management (HRM) is
gaining increasing attention, with many organizations recognizing its
potential to enhance operational efficiency. The majority of respondents
in this study demonstrate awareness of AI, with more than half
understanding the technology and its functions in the context of HRM.
Most respondents hold a positive view towards AI adoption, with over
60% believing that AI can improve organizational efficiency. Key
benefits identified include time savings in recruitment, improved data
analytics, and more accurate employee turnover predictions. However,
despite the widespread support for AI, some concerns remain. About
12% of respondents expressed concerns regarding algorithmic bias that
may arise in AI-driven decision-making processes, as well as challenges
in safeguarding employee privacy. These issues highlight the
importance of caution when implementing AI, ensuring that the
technology does not exacerbate inequalities or infringe upon individual
privacy. Overall, the survey results reflect a generally positive attitude
towards AI, while also emphasizing the need for a more cautious
approach in its application. Organizations must address ethical and
privacy concerns and ensure that AI is used to support fair and
transparent decision-making

Keywords


Artificial Intelligence (AI) , Human Resource Management (HRM), Recruitment Efficiency, Algorithmic Bias, Employee Privacy

   

DOI

https://doi.org/10.29099/ijair.v8i1.1.1314
      

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10.29099/ijair.v8i1.1.1314 Abstract views : 88 | PDF views : 11

   

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