{"title":"A unified military approach to artificial intelligence","authors":"C. Pennington","doi":"10.1109/MILCOM.1988.13491","DOIUrl":null,"url":null,"abstract":"The author suggests a unified military approach to the development of AI (artificial intelligence) systems and the resolution of AI-related issues by using one or more information-sharing techniques. Coordination within the military can result in several advantages, such as reducing duplication of effort, making research results easily available to help further other research efforts, providing a forum for discussion and resolution of issues, reducing duplication of costly mistakes, sharing resolutions of AI system security breaches, and providing a framework for a more formal standardization entity when one is needed. To realize these advantages, several techniques including relying on private industry resources, forming panels for discussion, publishing a newsletter devoted to AI systems and issues, establishing an online database of AI systems information, and creating a multicommand committee are proposed. Criteria are developed with which to evaluate and compare the techniques.<<ETX>>","PeriodicalId":66166,"journal":{"name":"军事通信技术","volume":"3 1","pages":"859-863 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"1988-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"军事通信技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/MILCOM.1988.13491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The author suggests a unified military approach to the development of AI (artificial intelligence) systems and the resolution of AI-related issues by using one or more information-sharing techniques. Coordination within the military can result in several advantages, such as reducing duplication of effort, making research results easily available to help further other research efforts, providing a forum for discussion and resolution of issues, reducing duplication of costly mistakes, sharing resolutions of AI system security breaches, and providing a framework for a more formal standardization entity when one is needed. To realize these advantages, several techniques including relying on private industry resources, forming panels for discussion, publishing a newsletter devoted to AI systems and issues, establishing an online database of AI systems information, and creating a multicommand committee are proposed. Criteria are developed with which to evaluate and compare the techniques.<>