Decisions made by legal adjudicators and administrative decision-makers often found upon
a reservoir of stored experiences, from which is drawn a tacit body of expert knowledge …

The opacity of deep learning makes its application challenging in the medical field.
Therefore, there is a need to enable explainable artificial intelligence (XAI) in the medical …

Explainable artificial intelligence (XAI) is a research direction that was already put under
scrutiny, in particular in the AI&Law community. Whilst there were notable developments in …

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in supply chain
analytics has emerged as a transformative force in reshaping traditional logistics and …

Machine Learning (ML) is a fundamental part of modern perception systems. In the last
decade, the performance of computer vision using trained deep neural networks has …

Free speech is essential, but it can conflict with protecting marginalized groups from harm
caused by hate speech. Social media platforms have become breeding grounds for this …

Object recognition is one of the fundamental and challenging problems in most visual
monitoring applications and security systems. In assessing of crime scene, the detected …

Abstract The integration of Artificial Intelligence (AI) has catalysed a paradigm shift in
agricultural practices, revolutionising critical aspects of contemporary farming …

The recent success of deep neural networks has generated remarkable growth in Artificial
Intelligence (AI) research and has received much interest over the past few years. One of the …

Using artificial intelligence in law is a topic that has attracted attention in recent years. This
study aims to classify the case decisions taken by the Constitutional Court of the Republic of …