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

Author:

Chen Zhisheng1ORCID

Affiliation:

1. Nanjing University of Aeronautics and Astronautics, China

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.

Publisher

SAGE Publications

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