The impact of bias in latent fingerprint identification

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.