We reveal critical insights into problems of bias in state-of-the-art facial recognition (FR)
systems using a novel Balanced Faces in the Wild (BFW) dataset: data balanced for gender …

We study, for the first time, automated inference on criminality based solely on still face
images, which is free of any biases of subjective judgments of human observers. Via …

In this article, we examine the state-of-the-art and current applications of artificial intelligence
(AI), specifically for human resources (HR). We study whether, due to the experimental state …

Objectives Coronavirus stigmatization may be disproportionately impacting ethnoracial
minority groups in the US. We test three hypotheses:[H1] Asians in the US are more likely to …

Facial recognition systems frequently exhibit high accuracies when evaluated on standard
test datasets. However, their performance tends to degrade significantly when confronted …

Biometrics is the technique of automatically recognizing individuals based on their biological
or behavioral characteristics. Various biometric traits have been introduced and widely …

The human face holds a privileged position in multi-disciplinary research as it conveys much
information—demographical attributes (age, race, gender, ethnicity), social signals, emotion …

Polarization in American politics has been extensively documented and analyzed for
decades, and the phenomenon became all the more apparent during the 2016 presidential …

One of the contributing factors to the continuing debate among art historians over the use of
computational methods in art history research is that they do not consider the core of today's …

In November 2016 we submitted to arxiv our paper" Automated Inference on Criminality
Using Face Images". It generated a great deal of discussions in the Internet and some media …