This study aims to examine the perception of public works experts on the application of artificial intelligence (AI) as a tool to potentially increase the rationality and transparency of public works.
This paper is based on an exploratory quantitative design. It uses an original survey on the use of AI in public works, targeting public works experts from Peru. Data was analyzed using structural equation modeling.
Findings reveal public works experts’ interest in AI, highlighting its potential to improve transparency and efficiency, although labor changes are anticipated. AI monitoring could impact economic and quality control areas, vital in the fight against corruption. Infrastructure, government policies and financial resources emerge as fundamental enablers.
The advent of advanced AI systems has raised promises to help fight corruption through new monitoring capabilities that enhance transparency and rationality. However, few studies have assessed the impact of AI on public works. This paper contributes to this gap by testing a framework that explores how public works experts perceive the use of AI, considering their perceptions, expectations, perceived challenges and opportunities over public works’ rationality and transparency.
