{"title":"潜在指纹识别中偏差的影响","authors":"András Czebe, Gabor Kovacs","doi":"10.1109/COGINFOCOM.2015.7390656","DOIUrl":null,"url":null,"abstract":"As demonstrated by the misidentification of Brandon Mayfield in the Madrid Train Bombing case, and a growing body of scientific research, it is clear that forensic examiners are prime candidates for cognitive biases. In this article, we overview latent fingerprint identification and methodology including the utilization of Automated Fingerprint Identification Systems. Then we consider recent empirical work on cognitive biases that can taint fingerprint examiners' conclusions. Finally we provide methods that would minimize such impacts in latent fingerprint identification.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The impact of bias in latent fingerprint identification\",\"authors\":\"András Czebe, Gabor Kovacs\",\"doi\":\"10.1109/COGINFOCOM.2015.7390656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As demonstrated by the misidentification of Brandon Mayfield in the Madrid Train Bombing case, and a growing body of scientific research, it is clear that forensic examiners are prime candidates for cognitive biases. In this article, we overview latent fingerprint identification and methodology including the utilization of Automated Fingerprint Identification Systems. Then we consider recent empirical work on cognitive biases that can taint fingerprint examiners' conclusions. Finally we provide methods that would minimize such impacts in latent fingerprint identification.\",\"PeriodicalId\":377891,\"journal\":{\"name\":\"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGINFOCOM.2015.7390656\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2015.7390656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The impact of bias in latent fingerprint identification
As demonstrated by the misidentification of Brandon Mayfield in the Madrid Train Bombing case, and a growing body of scientific research, it is clear that forensic examiners are prime candidates for cognitive biases. In this article, we overview latent fingerprint identification and methodology including the utilization of Automated Fingerprint Identification Systems. Then we consider recent empirical work on cognitive biases that can taint fingerprint examiners' conclusions. Finally we provide methods that would minimize such impacts in latent fingerprint identification.