Aplicação da inteligência artificial na gestão de recursos humanos: alocação de pessoal np âmbito do comando da força de superfície

Abstract

Artificial Intelligence (AI) has transformed personnel management in several public and private institutions, offering greater efficiency, precision, and predictive capability. In the Brazilian Navy (MB), where hierarchy, discipline, and structured processes are fundamental, the implementation of AI presents significant potential to improve personnel allocation, although it requires cultural and institutional adaptations. This research aimed to analyze the feasibility and impacts of integrating AI in personnel allocation within the Surface Force Command (ComForSup), seeking to increase efficiency in distributing military personnel and to improve the alignment between individual competencies and operational needs. A comparative methodology was adopted, combining theoretical references with a documental analysis of the current reality. The results indicated that ComForSup faces challenges related to the gap in competency-based management, lack of an analytical culture, normative limitations, and insufficient training of human resources managers, which hinder the implementation of automated solutions. It was identified that AI can act as a strategic tool to overcome these difficulties, through machine learning algorithms, predictive systems, and neural networks capable of performing faster and more precise analyses of personnel movements. The study compared the American Talent Marketplace model from the US Navy, highlighting its contributions to greater transparency, meritocracy, and talent retention, offering valuable insights for potential adaptations in ComForSup. It is concluded that adopting AI in ComForSup can represent a decisive step toward modernizing human resources management, strengthening operational readiness, and enhancing human capital. It is recommended to develop this integration gradually, with internal training, regulatory adaptation, and the promotion of a data-driven culture. This dissertation reinforces the importance of consolidating integrated strategies, associating advanced technologies with strategic people management, aligned with the Brazilian Navy’s constitutional mission and institutional future vision.