The recent shift from predominantly hardware-based systems in complex settings to systems
that heavily leverage non-deterministic artificial intelligence (AI) reasoning means that …

As neuroscience evolves, the neurotechnologies emerging are laden with ethical, legal, and
social issues (ELSI) for our governments, societies, cultures, and our individual selves. The …

Although there is a rich history of philosophical definitions of ethics when applied to human
behavior, applying the same concepts and principles to AI may be fraught with problems …

New concerns are emerging around increased artificial intelligence (AI) complexity,
autonomy, and its ability to exploit human users and itself. We outline predictions on human …

Intelligent systems that have Artificial Intelligence (AI) or Machine Learning (ML) algorithms
integrated should support their users by making predictions and provide help for decision …

With the resurgence of artificial intelligence (AI) paced primarily by recent advances in
machine learning and deep learning, systems engineering is turning to AI to introduce …

We propose a framework for classifying the capabilities and behavior of Artificial General
Intelligence (AGI) models and their precursors. This framework introduces levels of AGI …

Working and interacting with artificial intelligence (AI) and autonomous systems is becoming
an integral part of many jobs both in civilian and military settings. However, AI fluency skills …

Artificial intelligence (AI) algorithms based on neural networks have been designed for
decades with the goal of maximising some measure of accuracy. This has led to two …

A plethora of submissions to this Special Issue showed that while AI is increasingly being
embedded in information systems with potentially severe consequences for humans …