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ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Role of Generative Artificial Intelligence (ChatGPT) in Human Resource Development: Opportunities, Challenges, and Strategic Implications

Authors: Ruchi Verma; Anjali Kumari Thakur; Abhijeet Kumar; Salima Barwa;

Role of Generative Artificial Intelligence (ChatGPT) in Human Resource Development: Opportunities, Challenges, and Strategic Implications

Abstract

The rapid development of generative artificial intelligence, especially ChatGPT, is bringing noticeable changes to Human Resource Development (HRD) practices. Organizations are increasingly using AI-based tools to improve training programs, employee learning, and performance support systems. This study examines how ChatGPT can assist HR professionals in creating learning content, supporting personalized skill development, and enhancing employee engagement. The research is conceptual in nature and is based on a review of existing academic and industry literature. The findings suggest that ChatGPT improves access to learning resources and reduces the administrative burden of HR teams. However, concerns related to information accuracy, ethical use, data privacy, and over-dependence on technology must be carefully managed. The study highlights the importance of combining AI capabilities with human supervision to ensure responsible and effective implementation. Overall, ChatGPT can strengthen HRD practices when used as a supportive tool rather than a replacement for human expertise.

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Keywords

Generative Artificial Intelligence; Human Resource Development; Digital Learning; Workforce Skill Development; HR Analytics; Employee Training

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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