Obstacles in the implementation of Artificial Intelligence in Military Training: A systematic review
DOI:
https://doi.org/10.60029/Keywords:
Artificial Intelligence, obstacles, ethics, military organization, training programsAbstract
Today, the evolutionary rise of artificial intelligence (AI) has led to the optimization of functions in various areas of society, particularly in the educational field. This has led to an interest in its implementation in the various programs carried out by the armed forces (FFAA) for the training of their personnel. The objective of this article is to identify the obstacles in the FFAA that limit the implementation of AI in military training and formation programs through a systematic study of the existing academic literature and documentation, using the PRISMA method to collect scientific articles that have been published in the last five years. As a result of the review, we obtain that technical obstacles, such as the lack of an adequate infrastructure for its installation and implementation, and the obstacles of the organizational culture of the institution, such as resistance to change to emerging technologies, are the challenges that exist for an appropriate implementation of AI in schools in order to achieve effective military training, in accordance with the new demands. On the other hand, the importance of suggesting a defined ethical framework applicable to the use of Artificial Intelligence in military education is emphasized, which guides its responsible use for academic purposes. Finally, this study not only contributes to understanding the challenge of implementing AI in the military field, but also provides directions for continuing future research with a view to innovating strategies that overcome the limitations outlined.
Downloads
References
Albarracín, R. (2023). Transformación educativa: Optimización en la enseñanza de logística en los negocios internacionales mediante la aplicación de inteligencia artificial en instituciones de educación superior. Salud, Ciencia y Tecnología - Serie de Conferencias, 2, 422. https://doi.org/10.56294/sctconf2023422
Alfaro, A., Álcaraz, L., Bancalari, J., & Jiménez, J. (2023). Uso de ChatGPT como herramienta de apoyo en educación. Revista Digital de Tecnologías Informáticas y Sistemas, 7(1), 174–179. https://doi.org/10.61530/redtis.vol7.n1.2023.145.174-179
Almeida, A. P., Santana Júnior, C. A. D., & Brito, T. H. D. S. (2023). Los dilemas éticos de la inteligencia artificial en los servicios de información bibliotecaria. Revista EDICIC, 3(3), 1–16. https://doi.org/10.62758/re.v3i3.263
Balladares Burgos, J. A. (2023). Principios y valores para una ética digital. Oxímora. Revista Internacional de Ética y Política, 1–16. https://doi.org/10.1344/oxmora.23.2023.42325
Cotrina-Aliaga, J. C., Vera-Flores, M. Á., Ortiz-Cotrina, W. C., & Sosa-Celi, P. (2021). Uso de la inteligencia artificial como estrategia en la educación superior. Revista Iberoamericana de Educación. https://doi.org/10.31876/ie.vi.81
Del Campo Saltos, G., Villota Oyarvide, W., Andrade Sánchez, E., & Montero Reyes, Y. (2023). Bibliometric analysis on neuroscience, artificial intelligence and robotics studies: Emphasis on disruptive technologies in education. Salud, Ciencia y Tecnología, 3, 362. https://doi.org/10.56294/saludcyt2023362
Escamilla Ortiz, A. C. (2023). Uso de ChatGPT en los manuscritos científicos. Cirujano General, 45(2), 65–66. https://doi.org/10.35366/111506
Forero-Corba, W., & Negre Bennasar, F. (2023). Técnicas y aplicaciones del machine learning e inteligencia artificial en educación: Una revisión sistemática. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 209–253. https://doi.org/10.5944/ried.27.1.37491
Gangotena Echeverría, G. S., Yuctor Alvarez, A. F., Arias Espinosa, M. J., Lopez Aguayo, E. M., & Luna Rodriguez, P. M. (2023). Recursos digitales con inteligencia artificial para mejorar el aprendizaje de los estudiantes de primaria. Ciencia Latina Revista Científica Multidisciplinar, 7(4), 1463–1481. https://doi.org/10.37811/cl_rcm.v7i4.6967
Gómez Amaya, J., Bautista Díaz, D. A., & Cortés Garnica, J. F. (2023). SCAECH: Herramienta basada en inteligencia artificial para la evaluación del aprendizaje en entornos construccionistas. Revista Educación en Ingeniería, 18(35). https://doi.org/10.26507/rei.v18n35.1248
González Arencibia, M., & Martínez Cardero, D. (2020). Dilemas éticos en el escenario de la inteligencia artificial. Economía y Sociedad, 25(57), 1–18. https://doi.org/10.15359/eys.25-57.5








