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Review of Several False Positive Error Rate Estimates for Latent Fingerprint Examination Proposed Based on the 2014 Miami Dade Police Department Study

NCJ Number
254155
Date Published
Unknown
Annotation
This article reports on a review of several false positive error rate (FPR) estimates for latent fingerprint examination based on the 2014 study of the Miami Dade Police Department.
Abstract
During the past decade, several studies have been conducted to estimate the false positive error rate (FPR) associated with latent fingerprint examination. The so-called Black-box study by Ulery et al. is often used to support the claim that the FPR in fingerprint examination is reasonably low (0.1 percent). The Ulery et al.'s estimate of the FPR is supported by the results of the extensive study of the overall fingerprint examination process by Langenburg. In 2014, the Miami Dade Police Department (MDPD) Forensic Services Bureau conducted research to study the false positive error rate associated with latent fingerprint examination. They report that approximately 3.0 percent of latent fingerprint examinations result in a false positive conclusion. Their estimate of the FPR becomes as high as 4.2 percent when inconclusive decisions are excluded from the calculation. In their 2016 report, the President's Council of Advisors on Science and Technology (PCAST) proposes that the MDPD FPR estimate be used to inform jurors that errors occur at a detectable rate in fingerprint examination; more specifically, they declare that false positives may occur as often as 1 in 18 cases. The large discrepancy between the FPR estimates reported by Ulery et al. and Langenburg on the one hand, and the MDPD on the other hand, causes a great deal of controversy. The current article reviews the MDPD study and the various error rate calculations that have been proposed to interpret its data. To assess the appropriateness of the different proposed estimates, the current project developed a model that re-creates the MDPD study. This model enabled estimates of the expected number of false positive conclusions that should be obtained with any proposed FPR and compared this number to the actual number of erroneous identifications observed by MDPD. (publisher abstract modified)
Date Created: January 28, 2021