Inteligência artificial generativa no corpo de bombeiros militar do Amazonas: uso e Impacto na corporação

Abstract

This study analyzes the application and potential impact of Generative Artificial Intelligence (GAI) on the modernization of the Military Firefighters Corps of Amazonas (CBMAM), focusing on its contributions to data management, document preparation, and strategic Decision support. Adopting a qualitative, exploratory-descriptive approach, the research utilized primary sources including the functional 'Force Map' analysis, official documents, and interviews within strategic administrative sectors. Functional and educational data of the personnel were examined, correlating the generational profile with technological proficiency, alongside an assessment of currently employed systems, notably SINESP 3.0. Results indicate that GAI offers significant efficiency gains in optimizing administrative and operational processes, such as standardizing and accelerating complex report generation. Crucially, the findings underscore critical challenges, including the generational proficiency gap, the limited IT staff, and risks associated with information security (LGPD compliance) and the dissemination of factually incorrect content (hallucinations). As the main practical contribution, the study proposes an Administrative Norm (Portaria) for CBMAM to regulate GAI usage, mitigating confidentiality risks and ensuring institutional transparency. We conclude that the responsible and standardized adoption of GAI is essential for modernizing military public administration, serving as a strategic regulatory benchmark for security institutions nationwide.