Towards a responsible integration of artificial intelligence technology in the construction sector

Author:

Pillai Vishnu Sivarudran1,Matus Kira J M2ORCID

Affiliation:

1. Division of Public Policy, The Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong

2. Division of Public Policy, Division of Social Science, Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong

Abstract

Abstract The uptake of artificial intelligence (AI) innovations in the construction industry implies new physical and socio-political risks. Risk analysis is crucial to managing these risks, but is challenging due to the inherent complexity and lack of applied knowledge specific to construction activities. We forecast potential AI innovation trends related to construction from a keyword concurrence analysis of 974 journal articles. We use this analysis to identify potential sector-specific risks in construction activities by forming a risk map based on an analysis of ninety-four articles related to the ethics and impacts of AI technologies. We found that trends in innovation more often involve areas in construction considered ‘back-end’ tasks, as opposed to ‘on-site’. Thus, the potential risks and regulatory challenges from the use of AI technology in the construction sector will be legal, financial, and social, as opposed to risks involving physical harm to users on construction sites.

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Public Administration,Geography, Planning and Development

Reference125 articles.

1. Integration of BIM and Generative Design to Exploit AEC Conceptual Design Innovation;Abrishami;Information Technology in Construction,2014

2. Smartphone-based Construction Workers’ Activity Recognition and Classification;Akhavian;Automation in Construction,2016

3. A Harm-reduction Framework for Algorithmic Fairness;Altman;IEEE Security & Privacy,2018

4. Making Technological Innovation Work for Sustainable Development;Anadon;Proceedings of the National Academy of Sciences of Sciences,2016

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3