An Examination of the Impact of Artificial Intelligence on Human Resource Management: Improving Efficiency and Employee Experience

Shejal Umrao; Smita Dron; Rashi Saxena

doi:10.69968/ijisem.2024v3si287-94

Authors

Shejal Umrao PhD Scholar, Department of Management Studies, Harcourt Butler Technical University, Kanpur
Smita Dron Assistant Professor, Department of Management Studies, Harcourt Butler Technical University, Kanpur
Rashi Saxena Assistant Professor, Department of Management Studies, Harcourt Butler Technical University, Kanpur

DOI:

https://doi.org/10.69968/ijisem.2024v3si287-94

Keywords:

Artificial Intelligence, Human Resource Management, Employee Engagement, Predictive Analytics, Data Privacy, Data Security

Abstract

The homogenization of AI into HRM is revolutionizing traditional Human Resource practices, driving efficiency, and enhancing the employee experience. This paper explores the transformative impact of AI on HRM by examining its applications, benefits, challenges, and future prospects. We begin with an overview of AI technologies, including MLand NLP, and predictive analytics, highlighting their roles in automating daily activities, enabling data-driven decision-making, and optimizing HR processes. The paper delves into how AI personalizes employee engagement through feedback systems and customized learning plans, and enhances workplace well-being with AI-driven health programs and predictive retention analytics. Moreover, it discusses AI's contribution to fostering inclusivity and diversity by detectingbiases and supporting diversity initiatives. Ethical and legal rumination, such as data privacy, bias mitigation, and regulatory compliance, are critically analyzed to address the complexities of AI adoption in HRM. We also identify emerging AI trends and technologies, potential barriers to adoption, and strategies for successful integration. This paper aims to guide HR professionals and organizations in leveraging AI to achieve strategic HR goals, improve efficiency, and create an additional engaging and inclusive work environment.

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