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 …

AI systems are increasingly being adopted across various domains and application areas.
With this surge, there is a growing research focus and societal concern for actively involving …

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 …

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 …

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 …

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 …

Teaching unbiased decision-making is crucial for addressing biased decision-making in
daily life. Although both raising awareness of personal biases and providing guidance on …

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