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O presente trabalho analisa o potencial da Inteligência Artificial (IA) no reforço das capacidades da Força Terrestre de Próxima Geração (FTPG), no seio do Exército Português. Parte-se da identificação de um problema central: a necessidade de adaptação das Forças Armadas aos desafios de um ambiente operacional cada vez mais complexo, veloz e tecnologicamente avançado. O principal objetivo deste trabalho consiste em compreender como a IA pode ser integrada no processo de decisão militar, otimizando a eficácia operacional. Para tal, recorreu-se a uma metodologia qualitativa, baseada em análise documental e na realização de entrevistas semiestruturadas a académicos, militares e elementos da indústria com experiência relevante. Os resultados evidenciam que a IA tem potencial para melhorar significativamente a recolha, processamento e análise de dados, apoiar a tomada de decisões em tempo real e melhorar a compreensão do teatro de operações. Contudo, foram também identificados desafios relevantes, nomeadamente ao nível da interoperabilidade, da fiabilidade dos sistemas e das implicações éticas. Conclui-se que a integração eficaz da IA exige um esforço coordenado entre a capacitação tecnológica, a formação dos recursos humanos e a criação de orientações estratégicas claras, permitindo à FTPG evoluir de forma coerente e sustentada no domínio das operações futuras.
This study examines the potential of Artificial Intelligence (AI) in enhancing the capabilities of the Next-Generation Land Force within the Portuguese Army. It begins by identifying a central problem: the need for the Armed Forces to adapt to the challenges of an increasingly complex, fast-paced, and technologically advanced operational environment. The main objective of this research is to understand how AI can be integrated into the military decision-making process, thereby optimising operational effectiveness. A qualitative methodology was employed, based on document analysis and semi-structured interviews with academics, military personnel, and industry professionals with relevant experience. The findings reveal that AI has significant potential to improve data collection, processing, and analysis, to support real-time decision-making, and to enhance situational awareness within the theatre of operations. However, notable challenges were also identified, particularly in terms of interoperability, system reliability, and ethical implications. The study concludes that effective integration of AI requires a coordinated effort encompassing technological capacity building, the training of human resources, and the development of clear strategic guidelines, enabling the Next-Generation Land Force to evolve coherently and sustainably in the realm of future operations.
This study examines the potential of Artificial Intelligence (AI) in enhancing the capabilities of the Next-Generation Land Force within the Portuguese Army. It begins by identifying a central problem: the need for the Armed Forces to adapt to the challenges of an increasingly complex, fast-paced, and technologically advanced operational environment. The main objective of this research is to understand how AI can be integrated into the military decision-making process, thereby optimising operational effectiveness. A qualitative methodology was employed, based on document analysis and semi-structured interviews with academics, military personnel, and industry professionals with relevant experience. The findings reveal that AI has significant potential to improve data collection, processing, and analysis, to support real-time decision-making, and to enhance situational awareness within the theatre of operations. However, notable challenges were also identified, particularly in terms of interoperability, system reliability, and ethical implications. The study concludes that effective integration of AI requires a coordinated effort encompassing technological capacity building, the training of human resources, and the development of clear strategic guidelines, enabling the Next-Generation Land Force to evolve coherently and sustainably in the realm of future operations.
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IUM
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Without CC licence