{"title":"Analyzing Failures in Artificial Intelligent Learning Systems (FAILS)","authors":"Francis Durso, M. Raunak, Rick Kuhn, R. Kacker","doi":"10.1109/STC55697.2022.00010","DOIUrl":null,"url":null,"abstract":"We learn more from analyzing failures in engineering than by studying successes. There is significant value in documenting and tracking AI failures in sufficient detail to understand their root causes, and to put processes and practices in place toward preventing similar problems in the future. Similar efforts to track and record vulnerabilities in traditional software led to the establishment of National Vulnerability Database, which has contributed towards understanding vulnerability trends, their root causes, and how to prevent them [1], [3].","PeriodicalId":170123,"journal":{"name":"2022 IEEE 29th Annual Software Technology Conference (STC)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 29th Annual Software Technology Conference (STC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC55697.2022.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We learn more from analyzing failures in engineering than by studying successes. There is significant value in documenting and tracking AI failures in sufficient detail to understand their root causes, and to put processes and practices in place toward preventing similar problems in the future. Similar efforts to track and record vulnerabilities in traditional software led to the establishment of National Vulnerability Database, which has contributed towards understanding vulnerability trends, their root causes, and how to prevent them [1], [3].
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
