TY - CHAP
T1 - Advances in Human–AI Collaboration
T2 - Training with AI Support
AU - Xie, Yubin
AU - Man, Siu Shing
AU - Zhou, Ronggang
AU - Shou Chan, Alan Hoi
N1 - Publisher Copyright:
© 2026 by John Wiley & Sons, Inc. All rights reserved.
PY - 2026/1/1
Y1 - 2026/1/1
N2 - This chapter systematically introduces the concept, benefits, risks, and applications of training with artificial intelligence (AI), thereby providing readers with a comprehensive understanding of AI's role in employee training. It aims to assist professionals in utilizing AI to enhance employee training processes. The advantages of AI in training are reflected in several aspects. AI has significantly transformed traditional training models, enhancing efficiency, personalization, and adaptability. Although training with AI offers significant advantages, several challenges are also noted. These challenges primarily focus on technological limitations, ethical considerations, data privacy, and human factors. AI application involves several key stages, from knowledge base construction to feedback on results, each contributing to a personalized and adaptive learning experience. The following aspects provide a detailed description of how AI is applied in each stage: knowledge base construction, training needs analysis, training organization, and feedback on results. The chapter finally provides case studies of training with AI support.
AB - This chapter systematically introduces the concept, benefits, risks, and applications of training with artificial intelligence (AI), thereby providing readers with a comprehensive understanding of AI's role in employee training. It aims to assist professionals in utilizing AI to enhance employee training processes. The advantages of AI in training are reflected in several aspects. AI has significantly transformed traditional training models, enhancing efficiency, personalization, and adaptability. Although training with AI offers significant advantages, several challenges are also noted. These challenges primarily focus on technological limitations, ethical considerations, data privacy, and human factors. AI application involves several key stages, from knowledge base construction to feedback on results, each contributing to a personalized and adaptive learning experience. The following aspects provide a detailed description of how AI is applied in each stage: knowledge base construction, training needs analysis, training organization, and feedback on results. The chapter finally provides case studies of training with AI support.
KW - adaptability
KW - artificial intelligence
KW - efficiency
KW - employee training processes
KW - knowledge base construction
KW - personalization
KW - training needs analysis
KW - training organization
UR - https://www.scopus.com/pages/publications/105035281177
U2 - 10.1002/9781394266401.ch6
DO - 10.1002/9781394266401.ch6
M3 - 章节
AN - SCOPUS:105035281177
SN - 9781394266371
SP - 107
EP - 122
BT - Advances in Human-AI Collaboration
PB - wiley
ER -