Clinical coding is the task of transforming medical information in a patient's health records
into structured codes so that they can be used for statistical analysis. This is a cognitive and …

Despite reaching a point of acceptance as a research tool across the geographical and
social sciences, there remain significant methodological challenges for agent‐based …

In recent years, AI research has become more and more computationally demanding. In
natural language processing (NLP), this tendency is reflected in the emergence of large …

In this article we focus on the definition of autonomous weapons systems (AWS). We provide
a comparative analysis of existing official definitions of AWS as provided by States and …

What will happen to law firms and the legal profession when the use of artificial intelligence
(AI) becomes prevalent in legal services? We address this question by considering three …

The arrival of deep learning techniques able to infer patterns from large datasets has
dramatically improved the performance of Artificial Intelligence (AI) systems. Deep learning's …

Intelligence agencies have identified artificial intelligence (AI) as a key technology for
maintaining an edge over adversaries. As a result, efforts to develop, acquire, and employ AI …

Abstract Machine learning is an increasingly key influence on the financial services industry.
In this paper, we review the roles and impact of machine learning (ML) and artificial …

Higher education is currently under a significant transformation due to the emergence of
generative artificial intelligence (GenAI) technologies, the hype surrounding GenAI and the …

Calls for “ethical Artificial Intelligence” are legion, with a recent proliferation of government
and industry guidelines attempting to establish ethical rules and boundaries for this new …