Evaluating the Impact of AI on Contemporary Workforce Management: A Comprehensive Review

Priyanka Gupta; Pooja Singh

doi:10.69968/ijisem.2024v3si2145-151

Authors

Priyanka Gupta Assistant Professor, Department of Management Studies, School of Entrepreneurship and Management, HBTU, Kanpur
Pooja Singh Assistant Professor, Department of Economics, School of Arts, Humanities & Social Sciences, Chhatrapati Shahu Ji Maharaj University, Kanpur, U.P., India

DOI:

https://doi.org/10.69968/ijisem.2024v3si2145-151

Keywords:

AI in HRM, Workforce Management, Recruitment Automation, HR Technology, Algorithmic Bias in HR

Abstract

Artificial Intelligence (AI) in Human Resource Management (HRM) is rapidly transforming the management of personnel inside organizations. In the face of growing competition in the digital realm, organizations are turning to AI technology to find creative ways to make HR operations more efficient, boost decision-making capabilities, and improve the overall experiences of employees. The study seeks to thoroughly examine the utilization technologies of AI, including algorithms of machine learning, and predictive analytics, to enhance HR processes. This use intends to improve efficiency, minimize prejudice, and promote inclusivity in the workplace.

The study technique entails a comprehensive examination of current literature and analysis of case studies from prominent firms that have effectively integrated AI into their HRM procedures. The literature study examines the latest developments in artificial intelligence (AI) technology and their use in human resources (HR), utilizing information from scholarly publications, industry reports, and case studies. An analysis of firms implementing HR solutions powered by artificial intelligence (AI) is conducted on case studies to discover the most effective strategies and critical variables for success.

This article seeks to assess the impact of artificial intelligence on the productivity, effectiveness, and fairness of human resource management practices. The research addresses crucial questions: What is AI's impact on the recruiting and selection process? What are the effects of AI on employee performance management and engagement? To what degree does artificial intelligence alleviate or worsen human resource decision-making biases? The research intends to offer significant insights for HR practitioners and corporate executives seeking to leverage the potential of AI while managing its intricacies.

Furthermore, the study emphasizes the ethical implications linked to artificial intelligence (AI) in human resources (HR), specifically regarding privacy, data security, and the possibility of algorithmic prejudice. The results indicate that although AI has the capacity to transform HRM, it also presents notable obstacles that need to be effectively addressed to prevent unforeseen repercussions. The research emphasizes the necessity for continuous monitoring and evaluation of AI systems to ensure alignment with organizational standards and to foster fairness.

This study highlights many areas for improvement in the existing comprehension of artificial intelligence (AI) involvement in human resource management (HRM). Subsequent studies should prioritize the creation of ethical AI frameworks for HR, delve into the lasting effects of AI on workforce dynamics, and examine the contribution of AI in promoting diversity and inclusion in enterprises. Furthermore, as artificial intelligence (AI) technologies progress, it is essential to conduct continuous research to adjust human resources (HR) strategies to utilize AI successfully while ensuring the protection of human-centred principles in workforce management.

References

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