Responsible AI in Organizational Training: Applications, Implications, and Recommendations for Future Development

Through a literature review, this study investigates the responsibility, application, and impact of Artificial Intelligence (AI) in organizational training based on the theoretical frameworks of Psychological, Economic, and Systems Theories in Human Resource Development (HRD). It emphasizes the importance of responsible AI training systems that adhere to non-discrimination, privacy, interpretability, professional responsibility, and accountability to ensure AI’s beneficial and equitable contribution to training. The application scenarios of AI in areas such as knowledge management, training needs analysis, training delivery, and feedback to provide personalized and efficient training solutions are analyzed. Moreover, it highlights the differing impacts of AI-supported training on organizations, trainers, and trainees and the significance of stakeholder engagement. Finally, it proposes recommendations for future research to broaden our understanding of AI’s application in training and assess its effects on policies and practices, guiding organizations to adopt AI technologies per HRD principles and ethical standards.

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Publication Details

Journal
Human Resource Development Review
Published
2024-08-19
DOI
https://doi.org/10.1177/15344843241273316
Citations
21
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
11.10
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article

Responsible AI in Organizational Training: Applications, Implications, and Recommendations for Future Development

Zhisheng Chen
21 citations
Human Resource Development Review
Big Data and Business Intelligence
11.10
article

Responsible AI in Organizational Training: Applications, Implications, and Recommendations for Future Development

Zhisheng Chen
article en
21 citations

Abstract

Through a literature review, this study investigates the responsibility, application, and impact of Artificial Intelligence (AI) in organizational training based on the theoretical frameworks of Psychological, Economic, and Systems Theories in Human Resource Development (HRD). It emphasizes the importance of responsible AI training systems that adhere to non-discrimination, privacy, interpretability, professional responsibility, and accountability to ensure AI’s beneficial and equitable contribution to training. The application scenarios of AI in areas such as knowledge management, training needs analysis, training delivery, and feedback to provide personalized and efficient training solutions are analyzed. Moreover, it highlights the differing impacts of AI-supported training on organizations, trainers, and trainees and the significance of stakeholder engagement. Finally, it proposes recommendations for future research to broaden our understanding of AI’s application in training and assess its effects on policies and practices, guiding organizations to adopt AI technologies per HRD principles and ethical standards.

Human Resource Development ReviewVol. 23(4)
Nanjing University of Aeronautics and Astronautics (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Big Data and Business Intelligence
11.10
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