An introduction to the current state of standardization and certification on military AI applications

被引:0
|
作者
Jurado, Raquel Delgado-Aguilera [1 ]
Ye, Xiaojie [1 ]
Plaza, Vicent Ortola [1 ]
Suarez, Maria Zamarren [1 ]
Moreno, Francisco Perez [1 ]
Valdes, Rosa Maria Arnaldo [1 ]
机构
[1] Univ Politecn Madrid UPM, Dept Aerosp Syst Air Transport & Airports, Madrid, Spain
关键词
Artificial intelligence; AI certification; AI standardization; Military aviation; AI trustworthiness; AI taxonomy; AI requirements;
D O I
10.1016/j.jairtraman.2024.102685
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The main objective of this article is to provide an overview of the current state of development regarding certification and standardization efforts for Artificial Intelligence (AI) systems in military aviation. The incorporation of AI capabilities in the military holds the potential for significant strategic advantages in information and decision supremacy. However, AI also brings novel risks and safety considerations that existing certification processes are inadequate to address. Consequently, the need arises for the establishment of an entirely new certification framework, encompassing requirements and standardized processes tailored to the unique demands of AI safe-ty. During the development of such framework, the 7 High Level Requirements of the EU AI High Level Experts Group are taken as reference to develop the successive horizontal (cross-domain) and vertical (domainspecific) standards that would produce legal, robust and ethical AI. To facilitate the creation of a new AI certification framework in military aviation, a review has been done over traditional civil and military certification processes and the current AI certification progress under development, to present an overview of the key elements and processes involved. References from various levels (regulatory, industry, research) have been considered to provide an introduction to the prospective military AI certification framework.
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页数:15
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