{"title":"识别专家系统项目中的风险","authors":"D. Hillmer, A. La Salle, L. Medsker, G. Welsh","doi":"10.1109/DMESP.1991.171768","DOIUrl":null,"url":null,"abstract":"Expert systems (ESs) have associated risks that managers need to know as they consider new projects. The research reported is aimed at establishing a quantitative approach to assisting managers in identifying these risks. Results of empirical studies and new automated tools are discussed. The risks included: developing an application that fails to represent the expert's knowledge; failure to produce a usable system; upsetting people and groups within the organization who may feel threatened by the planned ES application; and exposing themselves or the organization to legal liability claims resulting from a malfunction of an ES application.<<ETX>>","PeriodicalId":117336,"journal":{"name":"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identifying risks in expert system projects\",\"authors\":\"D. Hillmer, A. La Salle, L. Medsker, G. Welsh\",\"doi\":\"10.1109/DMESP.1991.171768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Expert systems (ESs) have associated risks that managers need to know as they consider new projects. The research reported is aimed at establishing a quantitative approach to assisting managers in identifying these risks. Results of empirical studies and new automated tools are discussed. The risks included: developing an application that fails to represent the expert's knowledge; failure to produce a usable system; upsetting people and groups within the organization who may feel threatened by the planned ES application; and exposing themselves or the organization to legal liability claims resulting from a malfunction of an ES application.<<ETX>>\",\"PeriodicalId\":117336,\"journal\":{\"name\":\"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMESP.1991.171768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System Programs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMESP.1991.171768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Expert systems (ESs) have associated risks that managers need to know as they consider new projects. The research reported is aimed at establishing a quantitative approach to assisting managers in identifying these risks. Results of empirical studies and new automated tools are discussed. The risks included: developing an application that fails to represent the expert's knowledge; failure to produce a usable system; upsetting people and groups within the organization who may feel threatened by the planned ES application; and exposing themselves or the organization to legal liability claims resulting from a malfunction of an ES application.<>