Adoption of Artificial Intelligence for Optimum Productivity in the Construction Industry
Creators: name: Obinnaya Chikezie Victor, Nwosu
Publisher: name: figshare
Year: 2022
Subjects: Construction engineering
Construction materials
Building construction management and project planning
Automation and technology in building and construction

description: While the building business has come a long way since its inception, the technology<br> necessary to reshape it has yet to find a home. The digital switch has now made its way<br> into the construction sector, intending to increase productivity. Artificial intelligence (AI)<br> is a branch of computer science defined as a machine's capacity to imitate intelligent<br> human behaviour by simulating traditionally complex issues using human-inspired<br> methods. Due to the intricacy of AI, it stands apart from lesser levels of digitalisation.<br> The complexity of AI necessitates the establishment of new conditions for human trust<br> and cooperation. This thesis is a pioneering work in that it examines the implementation<br> of AI and the appropriate interaction between people and AI-based technology.This thesis<br> aims to shed light on how the construction sector may narrow the gap between artificial<br> intelligence deployment's potential and realised advantages. The gap was discovered by<br> comparing the potential advantages of AI implementation to the current benefits and<br> obstacles to AI implementation in the construction sector.This thesis presents research<br> based on a comprehensive literature review, case studies of Speller Metcalfe, a designbuild and refurbishment project in Malvern, England, Jacobsen Construction, a project<br> digitising the planning process in Salt Lake City, Utah, USA, Using a CISCO packet<br> tracer simulator to construct a smart house in Calgary city Canada and Menkes<br> Development Inc., real-time visibility to construction site insights and data-driven<br> decision-making in Toronto, Canada.This research indicates that AI's capacity to evaluate<br> millions of datasets, constantly learn from the data produced, and act on statistics may<br> result in several potential advantages for the construction sector. AI is here to stay, and<br> when used well, it may result in improved production, increased safety, and higherquality building.The construction sector is only getting started with AI-based technology<br> deployment. However, this research demonstrates that knowledge gained via the<br> implementation of fundamental digital technology may be used to develop advanced<br> technologies, such as artificial intelligence. User-friendly tools, a well-defined training<br> plan, a desire and incentive to learn, and trust and respect amongst contractors are critical<br> elements in successfully adopting basic digital technology. They may also be considered<br> essential when implementing AI-based technology.A plan for amassing an adequate<br> quantity of high-quality data must be devised to narrow the gap between the future and<br> present state of affairs. However, it is determined that the most critical element in reaping<br> the advantages of AI-based technology is trust between humans and machines. The<br> following are essential elements for establishing human-AI trust: transparent AI systems,<br> human-AI contact, education, time, and experience. Additional research should be<br> conducted on international initiatives and other sectors to gain knowledge from their<br> experiences. Additionally, it is suggested to track the deployment of AI in different case<br> studies and see how it is carried out in reality. This effort should include determining a<br> data collection strategy and determining the degree of transparency and interactivity<br> required in the AI system to achieve a suitable level of human-AI trust.Artificial<br> intelligence is a rapidly growing area with applications in virtually every industry; its<br> uses have improved workplace productivity. However, the construction sector has been<br> sluggish to adapt to the digital age, with businesses failing to use and embrace new<br> technology.Artificial intelligence is advancing at a breakneck pace, changing our society<br> and opening up unprecedented possibilities in a wide variety of industries, including the<br> construction industry. Recent technology advancements in artificial intelligence,<br> automation, and robotics significantly impact the construction sector. Artificial<br> intelligence is advancing quicker than ever before in a wide variety of areas throughout<br> the technological age. New technology creates exciting possibilities without question, but<br> it also introduces significant uncertainties and difficulties in legal measurements. It is<br> critical to understand the legal risks and problems surrounding using artificial intelligence<br> in different sectors to make educated choices. Regulators must pay urgent attention to<br> artificial intelligence because of its difficulties with current legal frameworks and the new<br> legal and ethical issues it raises. This article addresses significant regulatory problems in<br> Artificial Intelligence in the building industry: how to stay up with technical<br> advancements while maintaining a balance between innovation and individual rights<br> protection. The legal implications of using artificial intelligence (AI) and self-driving cars<br> on construction sites should be thoroughly considered. There is a shortage of laws<br> regulating the usage and development of AI and autonomous vehicles in the construction<br> industry. All of these problems and legal difficulties need regulators' and legislators'<br> attention and must be handled. Systemes d'Augmentation de l'intelligence. Construction<br> projects are one-of-a-kind and often massive, complicated, and safety essential, making it<br> challenging to implement change and depending on established procedures. The<br> procedures used to design construction projects include diverse expertise areas and many<br> stakeholders who must all work together to ensure the project's success.Artificial<br> intelligence is a fascinating technical development that has the potential to enhance<br> building project management significantly. However, despite these potential advantages,<br> AI has received little attention due to various reasons, including high implementation<br> costs, data preparation requirements, a lack of AI methods, and a shortage of qualified<br> people.This study is groundbreaking in this respect. It evaluates how artificial<br> intelligence solutions and methods may be utilised to assist project managers and other<br> relevant professionals in effectively planning and managing construction projects. A<br> mixed-method research design was used to collect quantitative and qualitative data via<br> structured online survey questionnaires to accomplish this goal. This approach provides<br> an in-depth understanding of the topic while also identifying the challenges professionals<br> and organisations face, followed by recommended steps for implementing AI in their<br> workflow.The study effectively elicited a better knowledge of the requirements of<br> construction project professionals and organisations and in creating a framework for AI<br> specialists to utilise in building future AI solutions for construction project planning.The<br> rapidly evolving collection of artificial intelligence (AI) technologies has the potential to<br> address some of Sub-Saharan Africa's most urgent problems and to propel growth and<br> development in key sectors:<br> • Agriculture will be more productive and efficient, resulting in increased yields.<br> • Healthcare will become more personalised, outstanding quality, and accessible,<br> resulting in improved results.<br> • Public services will improve their efficiency and responsiveness to people, thus<br> increasing their effect.<br> • Financial services will become more secure and accessible to a more significant number<br> of people in need.<br> Forward-thinking policymakers, creative entrepreneurs, global technology partners, civil<br> society organisations, and international stakeholders are already mobilising to support the<br> development of a thriving AI ecosystem in Africa. However, structural obstacles persist<br> that may stymie Africa's establishment of a robust AI ecosystem:<br> • Education systems will need to change rapidly, and new frameworks for employees and<br> people to acquire the skills necessary for survival will need to be developed.<br> • Broadband coverage must be quickly expanded — particularly in rural regions — to<br> ensure that all people and businesses benefit.<br> • Ethical concerns associated with the fair, secure, and inclusive usage of AI applications<br> must also be addressed via cooperation and participation for AI systems to gain<br> confidence.<br> • Ensuring a larger, more diverse, and more accessible data pool is also critical for<br> academics, developers, and users to advance AI.<br> As is the case with previous transformational and revolutionary technologies, AI<br> development is fraught with difficulties. Governments may overcome these obstacles and<br> reap the benefits of artificial intelligence by developing clear roadmaps for the<br> technology's deployment. They should realign their laws and legal frameworks to<br> promote data-driven technologies and innovation-driven growth; improve the<br> development infrastructure; and establish the tone for a collaborative approach that<br> encourages all stakeholders to contribute their knowledge, ideas and create trust. Africa<br> and its people may enjoy the advantages of changes in the years to come with the proper<br> combination of policies.The construction industry's development is severely constrained<br> by a slew of complicated problems, including cost and schedule overruns, health and<br> safety, productivity, and labour shortages. Additionally, the construction sector is one of<br> the least digitalized globally, making it challenging to address the issues it is presently<br> facing. Artificial Intelligence (AI), a cutting-edge digital technology, is currently<br> reshaping the manufacturing, retail, and telecommunications sectors.