Graph-based anomaly detection (GBAD) approaches are among the most popular
techniques used to analyze connectivity patterns in communication networks and identify …

One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people
to anthropomorphise it. This becomes particularly problematic when we attach human moral …

The technical and economic benefits of artificial intelligence (AI) are counterbalanced by
legal, social and ethical issues. It is challenging to conceptually capture and empirically …

Predictive analytics is increasingly recognized as a pivotal tool in climate finance, offering
investors invaluable insights into both the risks posed by climate change and the …

This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies
(BD+ AI)—using an empirical approach. The paper categorises the current literature and …

Although artificial intelligence (AI) and machine learning (ML) can be deployed to improve
cyber security management, not all managers understand the different types of AI/ML and …

Law enforcement authorities (LEAs) have begun using artificial intelligence and predictive
policing applications that are likely to raise ethical, data protection, social, political and …

Artificial intelligence (AI) describes a highly sophisticated and competent technology that
has the ability to interact with the environment by collecting information, making sense of …

Predictive analytics stands as a cornerstone of customer-centric strategies, offering
invaluable insights. While customer analysis has been conducted for years, the manual …

In recent years, Artificial Intelligence (AI) has seen a rapid development where it can aid,
and sometimes completely replace, humans with decision making due to its superior …