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 …

The potential of artificial intelligence (AI) to reduce health care disparities and inequities is
recognized, but it can also exacerbate these issues if not implemented in an equitable …

As it is the case for many business processes and activities disciplines, artificial intelligence
(AI) is increasingly integrated in human resources management (HRM). While AI has great …

AI use in higher education raises ethical concerns that must be addressed. Biased
algorithms pose a significant threat, especially if used in admission or grading processes, as …

In this work, we present Fairness Aware Counterfactuals for Subgroups (FACTS), a
framework for auditing subgroup fairness through counterfactual explanations. We start with …

Social media posts have been used to predict different user behaviors and attitudes,
including mental health condition, political affiliation, and vaccine hesitancy. Unfortunately …

In domains such as fashion, music, food, and micro-video recommendation, items'
representation can be suitably enhanced through multimodal side information (extracted …

In recent years, artificial intelligence technology has been widely used in many fields, such
as computer vision, natural language processing and autonomous driving. Machine learning …

With the long-term accumulation of high-quality educational data, artificial intelligence (AI)
has shown excellent performance in knowledge tracing (KT). However, due to the lack of …

The financial domain is making huge advancements thanks to the exploitation of artificial
intelligence. As an example, the credit-worthiness-assessment task is now strongly based …