当前位置: X-MOL 学术Civ. Eng. Environ. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An opinion piece on the dos and don’ts of artificial intelligence in civil engineering and charting a path from data-driven analysis to causal knowledge discovery
Civil Engineering and Environmental Systems ( IF 1.8 ) Pub Date : 2022-03-15 , DOI: 10.1080/10286608.2022.2049257
M.Z. Naser 1, 2 , Brandon Ross 1
Affiliation  

ABSTRACT

Artificial intelligence (AI) has been established as a universal language for solving science and engineering problems. Despite the rise of big data, the success of AI in parallel fields, and exciting works published at this frontier, some in the civil engineering community tie AI to a mystique stigma. And yet, there is also ever-growing inertia to embrace AI fully. The mystique of AI arises because (1) AI is not typically taught in a traditional civil engineering curriculum, (2) the majority of civil engineers remain appliers (as opposed to creators) of AI, and (3) commonly adopted AI algorithms leverage blackbox methods – the opposite to that commonly accepted in the civil engineering domain. We write this opinion piece with the aim of presenting a holistic look into the dos and don’ts of adopting AI into civil engineering.



中文翻译:

一篇关于人工智能在土木工程中的注意事项的评论文章,并绘制了从数据驱动分析到因果知识发现的道路

摘要

人工智能 (AI) 已被确立为解决科学和工程问题的通用语言。尽管大数据的兴起,人工智能在平行领域的成功,以及在这一前沿发表的令人兴奋的作品,但土木工程界的一些人将人工智能与神秘的耻辱联系在一起。然而,完全拥抱人工智能的惯性也在不断增长。人工智能的神秘之处在于(1)传统的土木工程课程通常不教授人工智能,(2)大多数土木工程师仍然是人工智能的应用者(而不是创造者),以及(3)普遍采用的人工智能算法利用黑盒方法——与土木工程领域普遍接受的方法相反。我们写这篇评论文章的目的是全面了解将人工智能应用于土木工程的注意事项。

更新日期:2022-03-15
down
wechat
bug