Raquel Delgado-Aguilera Jurado, Xiaojie Ye, Vicent Ortolá Plaza, María Zamarreño Suárez, Francisco Pérez Moreno, Rosa María Arnaldo Valdés
{"title":"军事人工智能应用的标准化和认证现状介绍","authors":"Raquel Delgado-Aguilera Jurado, Xiaojie Ye, Vicent Ortolá Plaza, María Zamarreño Suárez, Francisco Pérez Moreno, Rosa María Arnaldo Valdés","doi":"10.1016/j.jairtraman.2024.102685","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":14925,"journal":{"name":"Journal of Air Transport Management","volume":"121 ","pages":"Article 102685"},"PeriodicalIF":3.9000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0969699724001509/pdfft?md5=25a285bafa175eff67db980bafdcb074&pid=1-s2.0-S0969699724001509-main.pdf","citationCount":"0","resultStr":"{\"title\":\"An introduction to the current state of standardization and certification on military AI applications\",\"authors\":\"Raquel Delgado-Aguilera Jurado, Xiaojie Ye, Vicent Ortolá Plaza, María Zamarreño Suárez, Francisco Pérez Moreno, Rosa María Arnaldo Valdés\",\"doi\":\"10.1016/j.jairtraman.2024.102685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":14925,\"journal\":{\"name\":\"Journal of Air Transport Management\",\"volume\":\"121 \",\"pages\":\"Article 102685\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0969699724001509/pdfft?md5=25a285bafa175eff67db980bafdcb074&pid=1-s2.0-S0969699724001509-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Air Transport Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0969699724001509\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Air Transport Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0969699724001509","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
An introduction to the current state of standardization and certification on military AI applications
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.
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