可解释性
数字化转型
知识管理
计算机科学
人力资源管理
过程(计算)
人力资源
隐性知识
人工智能
数据科学
管理
经济
万维网
操作系统
作者
Xi Zhang,Xin Wei,Carol Xiaojuan Ou,Emiel Caron,Hengshu Zhu,Hui Xiong
出处
期刊:IT Professional
[IEEE Computer Society]
日期:2022-05-01
卷期号:24 (3): 43-51
被引量:6
标识
DOI:10.1109/mitp.2022.3175512
摘要
Artificial Intelligence (AI) is an integral part of Society 5.0. Increasingly large companies are using AI technology to promote digital transformation and assist the human resource management (HRM) process to achieve sustainable talent development. Talent intelligent management system (TIMS), as a typical hybrid intelligent system, brings both opportunities and challenges to the transformation of HRM. Although the use of TIMS has met the expectation of Society 5.0 on replacing repetitive work by digital technology, practical insights are needed to address the potential challenges in human replacement, tacit knowledge of managers and data-driven recommendations, and low interpretability of TIMS recommendations. This article outlines possible solutions to cope with the above challenges. This article shows that the challenges brought by TIMS can be solved by different mechanisms, which cover improving users' trust in TIMS, balancing the rational results and irrational emotions, and enhancing the interpretability of AI algorithms.
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