Title:
Artificial Intelligence and Human Resource Decision-making

Authors:
Dorothy Ndembo Mwasawa, Dr. Rosemarie Wanyoike, Kenya

Abstract:

In recent years, Human Resource Management has undergone noticeable transformations in how key decisions like recruitment and selection, performance evaluation, and learning and development of employees are made in organizations. Artificial intelligence has affected how these key decisions are being handled in organizations. Every day, administrators grapple with how to handle these key operations, which are bound to affect their valuable resources. The study directs its focus on how Artificial Intelligence affects these key decisions in organizations. Desktop research was adopted by the researcher, and an analysis of current related research published between 2023 and 2025 was used. An explication on the debate of how Artificial Intelligence is affecting accuracy, fairness, and efficiency in critical areas in Human Resources is evident from existing studies. Provision of data-driven insights, automation of repetitive tasks in Human Resource Management, and creation of personalized Human Resource Management skills for employees. High implementation costs, data privacy issues, algorithm bias, and resistance to change are some of the challenges that the study has pointed out. Additionally, experts have warned against overreliance on automation, which has proven to limit human judgment. This tends to diminish emotional intelligence, which is vital in Human Resource decision-making. The study suggests a hybrid model that incorporates Artificial Intelligence and human judgment, which is vital in managing a diverse workforce. Updating Human Resource Management practices must take into consideration employee protection strategies and a balance between technological advancement and workforce well-being.

DOI: https://doi.org/10.51505/IJEBMR.2026.1112