Artificial Intelligence (AI) can benefit society, but it is also fraught with risks. Societal adoption
of AI is recognized to depend on stakeholder trust in AI, yet the literature on trust in AI is …

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 use of artificial intelligence (AI), machine learning (ML), embedded systems, cloud
computing, Big Data, and the Internet of Things (IoT) is influencing the paradigm shift toward …

Abstract Although Artificial Intelligence (AI) has become a pervasive organizational
phenomenon, it is still unclear if and when people are willing to cooperate with machines …

The human-centered AI approach posits a future in which the work done by humans and
machines will become ever more interactive and integrated. This article takes human …

New technologies, data, and algorithms impact nearly every aspect of daily life.
Unfortunately, many of these algorithms operate like black boxes and cannot explain their …

Many recent studies have used reinforcement learning methods to investigate the behavior
of agents in evolutionary games. Q-learning, in particular, has become a mainstream …

The autonomy of unmanned aerial vehicles (UAVs)-self-governing in the aerospace
discipline has been a remarkable research area with the development of the advanced …

Trust and trustworthiness form the basis for continued social and economic interactions, and
they are also fundamental for cooperation, fairness, honesty, and indeed for many other …

The trustworthiness (or otherwise) of AI has been much in discussion of late, not least
because of the recent publication of the EU Guidelines for Trustworthy AI. Discussions range …