Nexus of Artificial Intelligence and Sustainable Infrastructure Development towards a resilient A.E.C.: A review

In sustainable infrastructure development, comprehensive planning is required to build more resilient societies and improve human wellbeing. The adoption of Artificial Intelligence plays a significant role in the A.E.C. delivering sustainable infrastructure development through machine learning knowledgebased systems. Moreover, digitalisation of sustainable infrastructure development through Artificial Intelligence provides enhanced efficiency and improved infrastructure management, better serving the end-user. However, with the opportunities it brings for the A.E.C. industry, the threats are as equal, compromising the industry's resilience to be better equipped for the new changes. This article aims to provide a two-phase bibliometric and systematic literature review on the SWOT (Strengths, Weaknesses, Opportunities and Threats) analyses of artificial intelligence-driven technologies as a response to the resilience of the A.E.C. industry in sustainable infrastructure development. The analyses' findings will provide a more comprehensive picture of the efforts to use A.I. technology for Sustainable Infrastructure Development. In addition, the article will provide an opportunity for the A.E.C. to be more resilient going forward with the changes that come with the use of A.I. Finally, a discussion of the prospects, key guidelines, and lessons learned should be implemented to ensure a favourable change in A.I. advancements and applications toward completely supporting Sustainable Infrastructure Development. The article is expected to contribute to Artificial Intelligence's knowledge in sustainable infrastructure development for a more resilient A.E.C. industry. It will also address the gap in sustainable infrastructure development by using Artificial intelligence as an innovative way to design, construct, operate and maintain infrastructure by better understanding current and future needs and the relationship between A.I. and sustainability.