Validation of Forensic Automatic Likelihood Ratio Methods

TL;DR: In this article , the authors discuss three strands of publications that exemplify this persistent trend: descriptivism, diagnosticism and machinism, and expose deeper problems such as the subtle and argumentatively unfounded carrying-over of source conclusions to ultimate issues and the use probability concepts for questions that require more than the mere quantification of uncertainty.

TL;DR: In this paper, the authors argue that, in the context of casework, PAV-based metrics are not meaningful metrics of degree of calibration; however, they also argue that a metric is not required.

TL;DR: In this paper, a transition from the similarity scores to likelihood ratios was demonstrated in the scope of digital evidence evaluation, which not only have probabilistic meaning, but can be immediately incorporated into the forensic casework and combined with the rest of the case-related forensic.

TL;DR: This work proposes a mathematical model for computing the prior odds based on non-genetic variables usually collected during the preliminary investigation, such as biological sex, hair colour, and age, and uses computational simulations to show how to incorporate these prior odds in DNA-database searches.