Generative artificial intelligence: opportunities, challenges and future avenues for organizational learning

Abstract

Purpose

This study provides a comprehensive investigation of the opportunities and challenges associated with generative artificial intelligence (GAI) use in development and learning in organizations. Additionally, it highlights the future avenues in GAI research and provides practical recommendations for policymakers.

Design/methodology/approach

Data for the review was collected from the Web of Science database using the search criteria (“Generative artificial intelligence” OR “artificial intelligence”) AND (“human resource management” OR “human resource development” OR “workplace learning” OR “organizational learning” OR “organizational development” OR “learning organization”) on March 6th, 2024. Filtering results to Management and Business categories yielded 71 articles. After abstract review, 6 unrelated articles were excluded, leaving 65 articles for final analysis.

Findings

The study presents several opportunities of GAI such as applications in personal learning and content generation. Moreover, it unravels several potential challenges of GAI such as quality and accuracy issues and elucidates several future research directions.

Originality/value

Our study is the first literature review that provides and a comprehensive overview of generative artificial intelligence in the context of organizational learning.

Citation

Rahman, H. and Singh, T. (2024), "Generative artificial intelligence: opportunities, challenges and future avenues for organizational learning", Development and Learning in Organizations, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/DLO-04-2024-0101