Impacto da inteligência artificial no processo de tomada de decisão: uma análise da aplicação no SIGAD-MB

Abstract

This study investigated the impact of Artificial Intelligence (AI) on the Decision-Making Process, with a focus on its application within the Brazilian Navy’s Electronic Archival Document Management System. Using a qualitative approach, data were collected through open-ended questionnaires administered to military personnel involved in the system’s implementation, and subsequently analyzed using the IRaMuTeQ software. The results revealed a multidimensional understanding of AI’s influence. The first dimension, related to strategic and governance prerequisites, highlighted the critical need for a robust technological infrastructure, significant financial investments, and the continuous development of human capabilities through training and qualification. This dimension also underscored the essential role of data governance, compliance with privacy regulations, ethical considerations, and algorithmic transparency for the responsible implementation of AI. The second dimension, focused on operational and human aspects, detailed the deep transformation in document management, which evolved from physical procedures to a digitally native environment, with opportunities for enhancement through the use of generative AI. The transition from SiGDEM to SIGAD-MB, though promising, presents significant challenges related to user adaptation and organizational resistance to change. Additionally, the study emphasized AI’s capability to analyze large volumes of archival data, enabling the identification of complex patterns, emerging trends, and anomalies that would otherwise be imperceptible to human analysis, thereby optimizing document management and generating strategic insights. In summary, the research confirms that while AI offers immense potential to revolutionize the decision-making process by enhancing analytical capabilities and streamlining administrative processes, its successful integration requires an approach that balances technological advancement with strong ethical frameworks, secure data governance, and ongoing investment in human capital and organizational culture.