According to a widely used theoretical perspective, our everyday experiences lead us to
become natural experts at perceiving and recognising human faces. However, there has …

Face perception is crucial to social interactions, yet people vary in how easily they can
recognize their friends, verify an identification document or notice someone's smile. There …

We introduce four principles for explainable artificial intelligence (AI) that comprise
fundamental properties for explainable AI systems. We propose that explainable AI systems …

Facial image comparison practitioners compare images of unfamiliar faces and decide
whether or not they show the same person. Given the importance of these decisions for …

Facial recognition errors can jeopardize national security, criminal justice, public safety and
civil rights. Here, we compare the most accurate humans and facial recognition technology …

Face-recognition abilities differ largely in the neurologically typical population. We examined
how the use of information varies with face-recognition ability from developmental …

Identifying unfamiliar faces is surprisingly error-prone, even for experienced professionals
who perform this task regularly. Previous attempts to train this ability have been largely …

Human factors and their implications for forensic science have attracted increasing levels of
interest across criminal justice communities in recent years. Initial interest centred on …

This journal is dedicated to “use-inspired basic research” where a problem in the world
shapes the hypotheses for study in the laboratory. This review considers the role of …

People vary in their ability to identify faces, and this variability is relatively stable across
repeated testing. This suggests that recruiting high performers can improve identity …