Supervised machine learning is the construction of algorithms that are able to produce
general patterns and hypotheses by using externally supplied instances to predict the fate of …

Scholars are increasingly concerned about social biases in facial analysis systems,
particularly with regard to the tangible consequences of misidentification of marginalized …

Online and social media platforms employ automated recognition methods to presume user
preferences, sensitive attributes such as race, gender, sexual orientation, and opinions …

This article presents findings from a Research through Design investigation focusing on a
reflexive approach to data curation and the use of generative AI in design and creative …

Understanding existing gender differences in the development of computational thinking
skills is increasingly important for gaining valuable insights into bridging the gender gap …

Although putting on a mask over our nose and mouth is a simple but powerful way to protect
ourselves and others during a pandemic, face masks may interfere with how we perceive …

Personalization on digital platforms drives a broad range of harms, including misinformation,
manipulation, social polarization, subversion of autonomy, and discrimination. In recent …

Social media platforms employ inferential analytics methods to guess user preferences and
may include sensitive attributes such as race, gender, sexual orientation, and political …

Gender classification algorithms have important applications in many domains today such
as demographic research, law enforcement, as well as human-computer interaction. Recent …

Gender classification from facial images plays a significant role in biometric technology viz.
gender medicine, surveillance, electronic banking system and human computer interaction …