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International Journal of Research in Human Resource Management
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P-ISSN: 2663-3213, E-ISSN: 2663-3361
International Journal of Research in Human Resource Management
Printed Journal   |   Refereed Journal   |   Peer Reviewed Journal

2024, Vol. 6, Issue 2, Part E

AI and automation in human resources

Dinesh Kannaa KV and Karthika S

The rapid evolution of “Artificial Intelligence (AI)” and “automation” is transforming the landscape of “Human Resources (HR)” by streamlining the processes, enhancing decision-making, and driving efficiency. This paper explores the integration of AI and its automation in various HR functions, including “recruitment, employee onboarding, performance management, and learning and development”. AI-driven tools such as “Applicant Tracking Systems (ATS)”, “chatbots”, and “predictive analytics” are reshaping how organizations attract and manage talent. Automated onboarding systems and personalized learning platforms are accelerating employee engagement and development. Additionally, AI's ability to provide “continuous feedback”, optimize workforce planning, and predict employee turnover enhances organizational agility. However, as these technologies revolutionize HR, they raise important considerations around “bias, ethical use, privacy, and the future of the workforce”. This paper aims to provides an overview of how AI and its automation are enhancing HR operations while addressing the challenges that come with their adoption. In the dynamic field of “Human Resources (HR)”, the adoption of “Artificial Intelligence (AI)” and “automation” is driving significant changes in the way organizations manage their workforce. This paper examines the transformative impact of these technologies across key HR functions such as “recruitment, employee onboarding, performance management, learning and development, and workforce planning”.
Pages : 413-418 | 95 Views | 38 Downloads


International Journal of Research in Human Resource Management
How to cite this article:
Dinesh Kannaa KV, Karthika S. AI and automation in human resources. Int J Res Hum Resour Manage 2024;6(2):413-418. DOI: 10.33545/26633213.2024.v6.i2e.244
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