This article provides a comprehensive overview of the fairness issues in artificial intelligence
(AI) systems, delving into its background, definition, and development process. The article …

An emerging body of research indicates that ineffective cross-functional collaboration–the
interdisciplinary work done by industry practitioners across roles–represents a major barrier …

As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important
to consider AI's ethical and societal implications. In this paper, we present a bottom-up …

In our era of rapid technological advancement, the research landscape for writing assistants
has become increasingly fragmented across various research communities. We seek to …

This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

The latest developments in Artificial Intelligence (AI) are the focal point in increasing the
performance of other technologies and the evolution of Industry 4.0. Considering the …

We analyze sentiment analysis and toxicity detection models to detect the presence of
explicit bias against people with disability (PWD). We employ the bias identification …

This paper examines how the combination of artificial intelligence (AI) and blockchain
technology can enable autonomous AI agents to engage and execute economic and …

We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically
examining 189 peer-reviewed papers on their applications, models, and datasets. Our …

The healthcare industry is undergoing a momentous transformation with the advent of
artificial intelligence (AI) and the internet of medical things (IoMT), as these technologies are …