The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace,
making it difficult for novel researchers and practitioners to have a bird's-eye view picture of …

Despite its enormous economical and societal impact, lack of human-perceived control and
safety is re-defining the design and development of emerging AI-based technologies. New …

Recent advances in artificial intelligence (AI) are radically changing how systems and
applications are designed and developed. In this context, new requirements and regulations …

To gain a comprehensive understanding of a patient's health, advanced analytics must be
applied to the data collected by electronic health record (EHR) systems. However, managing …

Modern applications are increasingly driven by Machine Learning (ML) models whose non-
deterministic behavior is affecting the entire application life cycle from design to operation …

Federated learning is a machine learning approach where multiple edge devices, each
holding local data samples, send a locally trained model to the central server, and the …

Modern applications are increasingly driven by Machine Learning (ML) models whose non-
deterministic behavior is affecting the entire application life cycle from design to operation …

Cloud computing has been a driving force for many technological innovations and
transformations in various domains and industries. It offers scalable and cost-effective …

Modern service-based systems are characterized by applications composed of
heterogeneous services provided by multiple, untrusted providers, and deployed along the …