Miranda-Hospinal, OscarVillodre, JuliánValle-Cruz, DavidAngulo-Sánchez, Kesber2026-08-262026-08-262026-04-02Transforming Government: People, Process and Policy, vol 20, nº1, p. 124-14410.1108/TG-07-2024-0167https://hdl.handle.net/10433/27331Emerald allows authors to deposit their AAM under the Creative Commons Attribution Non-commercial International Licence 4.0 (CC BY-NC 4.0). To do this, the deposit must clearly state that the AAM is deposited under this licence and that any reuse is allowed in accordance with the terms outlined by the licence.This study examines 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 article is based on an exploratory quantitative design. It employs 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 fighting corruption through new monitoring capabilities that enhance transparency and rationality. However, few studies have assessed the impact of AI on public works. This article 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.application/pdfenAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/Public worksTransparencyRationalityArtificial intelligenceDigital governmentPublic sectorjournal articleopen access