Abstract
The adoption of emerging and disruptive technologies, which includes Artificial Intelligence (AI), has driven profound transformations across various sectors and in human behavior in recent years, permeating nearly all fields of knowledge. In this context, the use of AI as a tool to support academic-scientific production cannot be considered an exception. Additionally, there is a growing need for AI literacy for its users, for regulation and for the establishment of criteria to ensure these technologies are employed ethically and responsibly. In light of this global trend, the Brazilian Army has been seeking ways to regulate, manage, and optimize the use of AI in accordance with the ethical principles and values of the Institution. The objective of this paper is to analyze the use of Generative AI technologies in military academic-scientific production with regard to ethical boundaries and identifying potential implications for strategic stability. We carried out applied, exploratory research with a qualitative approach, based on a narrative literature review encompassing scientific studies indexed in the SCOPUS, WoS, Science Direct, SCiElo, and DOAJ databases. The main findings reveal the irreversible use of generative AI in academia, which has driven scientific advancements and significantly contributed to the spread of open science. However, the study also found potential biases and distortions in AI-generated content, which may pose risks to the academic development and education of future military leaders as well as to the country's strategic stability.
Recommended Citation
Barros, Arlindo J. Junior; Santos, Rômulo F.; and Batista, Weslei J.
(2025)
"Military Academic-Scientific Production in Times Of Generative AI: Ethical Boundaries and Challenges for Strategic Stability,"
Journal of Peace, Conflict, and Security Studies: Vol. 1:
Iss.
1, Article 10.
Available at:
https://repository.rit.edu/jpcss/vol1/iss1/10
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