Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review

Introduction

In this article, the authors Regona, Massimo, Yigitcanlar, Tan, Xia, Bo, and Li, R.Y.M. (2022) explore the opportunities and adoption challenges of artificial intelligence (AI) in the construction industry. The study utilizes the PRISMA review methodology to analyze existing literature on the topic.

Methodology

The authors employ the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) review methodology to identify and analyze relevant studies. This approach ensures a systematic and transparent review process.

Findings

The review of the literature reveals several opportunities for the application of AI in the construction industry. These include improved project management, enhanced safety measures, increased productivity, and cost reduction. AI technologies such as machine learning, robotics, and computer vision can be utilized to automate various tasks and processes in construction.

However, the adoption of AI in the construction industry also presents several challenges. These include the need for significant investment in infrastructure and technology, the requirement for skilled personnel to operate and maintain AI systems, and concerns regarding data privacy and security. Additionally, there may be resistance to change within the industry, as traditional practices and workflows may need to be modified to accommodate AI technologies.

Implications

The findings of this review have important implications for the construction industry. The opportunities presented by AI can lead to significant improvements in efficiency, safety, and cost-effectiveness. However, the challenges associated with adoption must be addressed for successful implementation.

Conclusion

In conclusion, this PRISMA review highlights the opportunities and adoption challenges of AI in the construction industry. The findings suggest that while AI has the potential to revolutionize the industry, careful consideration must be given to the challenges and barriers that may arise. By addressing these challenges and investing in the necessary infrastructure and skills, the construction industry can harness the full potential of AI technologies.

Publication Date: 2022

Source: Regona, Massimo, Yigitcanlar, Tan, Xia, Bo, and Li, R.Y.M. (2022). Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review. Link

Publication source

See the PDF from which this article has been generated:

PDF source url: https://www2.ed.gov/documents/ai-report/ai-report.pdf