This article provides a comprehensive overview of the fairness issues in artificial intelligence
(AI) systems, delving into its background, definition, and development process. The article …

Artificial intelligence (AI) is a very powerful technology and can be a potential disrupter and
essential enabler. As AI expands into almost every aspect of our lives, people raise serious …

As a human-friendly system, the artificial intelligence (AI) robot is one of the critical
applications in promoting precision education. Alongside the call for humanity-oriented …

The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …

As digital technology continues to evolve rapidly and get integrated into various aspects of
our cities and societies, the alignment of technological advancements with societal values …

Mitigating algorithmic bias is a critical task in the development and deployment of machine
learning models. While several toolkits exist to aid machine learning practitioners in …

Algorithms used in data analytics (DA) tools, particularly in high‐stakes contexts such as
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …

In this critical survey, we analyze typical claims on the relationship between explainable AI
(XAI) and fairness to disentangle the multidimensional relationship between these two …

Researchers have developed a variety of approaches to evaluate explainable artificial
intelligence (XAI) systems using human–computer interaction (HCI) user‐centered …

While human-centered approaches to machine learning explore various human roles within
the interaction loop, the notion of Interactive Machine Teaching (IMT) emerged with a focus …