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

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...

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Bibliographic Details
Published in:Applied sciences 2021-11, Vol.11 (22), p.10919
Main Authors: Heo, Seokjae, Han, Sehee, Shin, Yoonsoo
Format: Article
Language:English
Subjects:
Accuracy
Annotations
architecture
Artificial intelligence
Civil engineering
Computers
Construction
Construction industry
Datasets
Development projects
Digital computers
digital light industry
fourth Industrial Revolution
human resource development
Human resources
Industrial development
Labeling
Mechanical equipment
R&D
Research & development
Research centers
Resource development
work index
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app112210919