Abstract

MEZA TERBULLINO, Giancarlo Fernando et al. Integrating artificial intelligence into engineering processes: A critical iteratu. e-Rev. Multidiscip. Saber [online]. 2025, vol.3, e-RMS07072025.  Epub Sep 23, 2025. ISSN 2960-2467.  https://doi.org/10.61286/e-rms.v3i.221.

This study conducted a systematic review of the literature on the integration of artificial intelligence (AI) into engineering processes, with an emphasis on the construction industry. A diverse analysis of sources highlighted how AI is transforming traditional practices in this field, improving operational efficiency and optimizing project management. Methodologically, a PRISMA methodology was used to ensure transparency in the research. An exhaustive search was conducted in different databases, including Google Scholar, Scielo, IEEE Xplore, ScienceDirect, and Scopus, using several search terms related to "artificial intelligence in engineering," "process automation," "cybersecurity," and "automated classification." The search was limited to articles published between 2015 and 2025, and only recent and relevant sources were included. Inclusion and exclusion criteria were applied to exclude and select suitable sources for the research. In conclusion, although artificial intelligence offers significant opportunities to improve engineering processes and outcomes in construction and other engineering fields, it is essential to address the ethical implications and ensure that engineers are adequately prepared to use these technologies responsibly and effectively.

Keywords : artificial intelligence; engineering processes; operational efficiency; project management.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )