With the increasing use of AI in marketing, ethical repercussions are beginning to emerge.
From privacy issues, through discrimination of marginalized groups, to emergent systemic …

Background Deep learning models applied to healthcare applications including digital
pathology have been increasing their scope and importance in recent years. Many of these …

Human face recognition is highly accurate and exhibits a number of distinctive and well-
documented behavioral “signatures” such as the use of a characteristic representational …

Deep convolutional neural networks (DCNNs) have become the state-of-the-art
computational models of biological object recognition. Their remarkable success has helped …

Background Convolutional Neural Network (DCNN), with its great performance, has
attracted attention of researchers from many disciplines. The studies of the DCNN and that of …

The face inversion effect (FIE) is a behavioral marker of face-specific processing that the
recognition of inverted faces is disproportionately disrupted than that of inverted non-face …

Face individuation involves sensitivity to physical characteristics that provide information
about identity. We examined whether Black and White American faces differ in terms of …

The integration of artificial intelligence (AI) into human society mandates that their decision-
making process is explicable to users, as exemplified in Asimov's Three Laws of Robotics …

Social categories such as the race or ethnicity of an individual are typically conveyed by the
visual appearance of the face. The aim of this study was to explore how these differences in …

Artificial neural network models are able to achieve great performance at numerous
computationally challenging tasks like face recognition. It is of significant importance to …