The Application of Artificial Intelligence in Employee Personalized Training: Research Progress and Future Challenges
- DOI
- 10.2991/978-94-6463-811-0_78How to use a DOI?
- Keywords
- AI - based training; personalized learning; employee development; ethical risks; organizational fit
- Abstract
With digital transformation accelerating, AI deeply impacts enterprises’ talent development, especially in personalized training, which has drawn wide attention. A Gartner 2023 report shows 68% of global Fortune 500 companies use AI - driven training systems, yet application effects vary, and there’s a theory - practice gap. A McKinsey study indicates AI - based training can boost employees’ skill iteration speed by 40%, but 35% of employees doubt algorithm - based recommendations, highlighting the tech - humanity conflict.
Current research has flaws. There’s no holistic view of AI training system evolution, soft factors are overlooked in training evaluation, and ethical risk discussions are tardy. This research innovatively creates a four - dimensional framework from multi - disciplinary angles. The paper traces the development, analyzes the theory, explores key issues, focuses on controversies and future trends, and offers a balanced development path, guiding academia and enterprises.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wei Guo PY - 2025 DA - 2025/08/14 TI - The Application of Artificial Intelligence in Employee Personalized Training: Research Progress and Future Challenges BT - Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025) PB - Atlantis Press SP - 745 EP - 751 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-811-0_78 DO - 10.2991/978-94-6463-811-0_78 ID - Guo2025 ER -