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

IF 3.9 2区 工程技术 Q2 TRANSPORTATION
Raquel Delgado-Aguilera Jurado, Xiaojie Ye, Vicent Ortolá Plaza, María Zamarreño Suárez, Francisco Pérez Moreno, Rosa María Arnaldo Valdés
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引用次数: 0

Abstract

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 (domain-specific) 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.
军事人工智能应用的标准化和认证现状介绍
本文的主要目的是概述军用航空领域人工智能(AI)系统认证和标准化工作的发展现状。将人工智能能力纳入军事领域有可能在信息和决策优势方面带来重大战略优势。然而,人工智能也带来了新的风险和安全问题,而现有的认证程序不足以解决这些问题。因此,有必要建立一个全新的认证框架,其中包括针对人工智能安全的独特需求量身定制的要求和标准化流程。在制定这一框架的过程中,将参考欧盟人工智能高级别专家组的 7 项高级别要求,制定连续的横向(跨领域)和纵向(特定领域)标准,以产生合法、稳健和合乎道德的人工智能。为便于在军用航空领域创建新的人工智能认证框架,我们对传统的民用和军用认证流程以及当前正在开发的人工智能认证进展进行了审查,以概述所涉及的关键要素和流程。考虑了不同层面(监管、行业、研究)的参考资料,为未来的军用人工智能认证框架提供了介绍。
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来源期刊
CiteScore
12.40
自引率
11.70%
发文量
97
期刊介绍: The Journal of Air Transport Management (JATM) sets out to address, through high quality research articles and authoritative commentary, the major economic, management and policy issues facing the air transport industry today. It offers practitioners and academics an international and dynamic forum for analysis and discussion of these issues, linking research and practice and stimulating interaction between the two. The refereed papers in the journal cover all the major sectors of the industry (airlines, airports, air traffic management) as well as related areas such as tourism management and logistics. Papers are blind reviewed, normally by two referees, chosen for their specialist knowledge. The journal provides independent, original and rigorous analysis in the areas of: • Policy, regulation and law • Strategy • Operations • Marketing • Economics and finance • Sustainability
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