Challenges of Data Refining Process during the Artificial Intelligence Development Projects in the Architecture, Engineering and Construction Industry

被引:13
|
作者
Heo, Seokjae [1 ]
Han, Sehee [1 ]
Shin, Yoonsoo [1 ]
Na, Seunguk [1 ]
机构
[1] Dankook Univ, Coll Engn, Dept Architectural Engn, 152 Jukjeon Ro, Yongins Si 16890, Gyeonggi Do, South Korea
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 22期
基金
新加坡国家研究基金会;
关键词
digital light industry; fourth Industrial Revolution; artificial intelligence; human resource development; work index; architecture; engineering and construction industry;
D O I
10.3390/app112210919
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The paper examines that many human resources are needed on the research and development (R & D) process of artificial intelligence (AI) and discusses factors to consider on the current method of development. Labor division of a few managers and numerous ordinary workers as a form of light industry appears to be a plausible method of enhancing the efficiency of AI R & D projects. Thus, the research team regards the development process of AI, which maximizes production efficiency by handling digital resources named 'data' with mechanical equipment called 'computers', as the digital light industry of the fourth industrial era. As experienced during the previous Industrial Revolution, if human resources are efficiently distributed and utilized, no less progress than that observed in the second Industrial Revolution can be expected in the digital light industry, and human resource development for this is considered urgent. Based on current AI R & D projects, this study conducted a detailed analysis of necessary tasks for each AI learning step and investigated the urgency of R & D human resource training. If human resources are educated and trained, this could lead to specialized development, and new value creation in the AI era can be expected.
引用
收藏
页数:14
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