Review of several false positive error rate estimates for latent fingerprint examination proposed based on the 2014 Miami Dade Police Department study
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 regularly used to support the claim that the FPR in fingerprint examination is reasonably low (...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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 regularly used to support the
claim that the FPR in fingerprint examination is reasonably low (0.1%). 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% of latent
fingerprint examinations result in a false positive conclusion. Their estimate
of the FPR becomes as high as 4.2% 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. In this paper, we review 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, we develop a model that re-creates the MDPD study. This model allows
us to estimate the expected number of false positive conclusions that should be
obtained with any proposed FPR and compare this number to the actual number of
erroneous identifications observed by MDPD. |
---|---|
DOI: | 10.48550/arxiv.1809.03910 |