Social media platforms have become widely used for open communication, yet their lack of
moderation has led to the proliferation of harmful content, including hate speech. Manual …

Autonomous vehicles can behave unexpectedly, as automated systems that rely on data-
driven machine learning have shown to infer false predictions or misclassifications, eg, due …

Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and
treatment decisions, playing an important role in imaging, diagnosis, risk analysis, lifestyle …

As digital healthcare evolves, the security of electronic health records (EHR) becomes
increasingly crucial. This study presents the GPT-Onto-CAABAC framework, integrating …

This paper addresses how people understand Explainable Artificial Intelligence (XAI) in
three ways: contrastive, functional, and transparent. We discuss the unique aspects and …

Data transparency plays a critical role in understanding IoT privacy practices and making
informed decisions. To gain a comprehensive understanding of transparency in the IoT …

The objective of this research is to investigate the impact of Artificial Intelligence (AI) on
improving the quality of financial reporting in the Islamic banking industry. The study is …

By introducing the concept of high-reach AI, this paper focuses on AI systems whose
widespread use may generate significant risks for both individuals and societies. While …

This review explores the current state of Explainable Artificial Intelligence (XAI). This study
looks at current advances in XAI research, as well as challenges and the future. To …

Policymakers need to start considering the impact smart connected toys (SCTs) have on
children. Equipped with sensors, data processing capacities, and connectivity, SCTs …