The prevalent commercial deployment of automated facial analysis systems such as face
recognition as a robust authentication method has increasingly fueled scientific attention …

Image recognition technology systems have existed in the realm of computer security since
nearly the inception of electronics, and have seen vast improvements in recent years …

We explore gender bias in the presence of facial masks in automated face recognition
systems using various deep learning algorithms in this research study. The paper focuses …

This paper is the first to explore the question of whether images that are classified incorrectly
by a face analytics algorithm (eg, gender classification) are any more or less likely to …

Automated gender classification has important applications in many domains, such as
demographic research, law enforcement, online advertising, as well as human-computer …

Deep learning methods have greatly increased the accuracy of face recognition, but an old
problem still persists: accuracy is usually higher for men than women. It is often speculated …

Rapid development of artificial intelligence (AI) systems amplify many concerns in society.
These AI algorithms inherit different biases from humans due to mysterious operational flow …

The research aims to evaluate the impact of race in facial recognition across two types of
algorithms. We give a general insight into facial recognition and discuss four problems …

Media reports have accused face recognition of being “biased”,“sexist” and “racist”. There is
consensus in the research literature that face recognition accuracy is lower for females, who …

Recent studies have highlighted a major caveat in various high performing automated
systems for tasks such as facial analysis (eg gender prediction), object classification, and …