Artificial Intelligence as a predictive tool in Behavior-Based Safety at SWISSGAS DEL ECUADOR S.A.S.

Abstract

Artificial Intelligence (AI) has emerged as a fundamental resource for strengthening organizational security systems, particularly within the Behavior-Based Security (BBS) methodology. This study focuses on Swissgas del Ecuador S.A.S., a company dedicated to the energy sector, with the aim of analyzing the application of AI as a predictive tool for identifying risky behavior in the workplace. The research is conducted using a mixed approach, combining quantitative and qualitative techniques, in order to understand how machine learning algorithms can anticipate incidents and thus improve preventive occupational safety management. It also examines the ethical, legal, and organizational implications that arise when incorporating these technologies into corporate processes, considering the Ecuadorian regulatory framework on occupational safety. Preliminary results show that integrating AI into SBC not only enables more accurate detection of risk patterns, but also enhances real-time decision-making, increasing the efficiency of preventive measures. In addition, AI facilitates the creation of safer, more transparent, and sustainable work environments by promoting a culture of shared responsibility and continuous learning. Consequently, it is proposed that AI constitutes a strategic innovation that transforms the traditional paradigm of industrial safety towards a more proactive, predictive, and adaptive model.