Progress in artificial intelligence (AI) is impressive, exciting, and inevitable. As we previously
discussed, there is strong evidence that increased automation often leads to both more jobs …

Nowadays, Industry 4.0 can be considered a reality, a paradigm integrating modern
technologies and innovations. Artificial intelligence (AI) can be considered the leading …

The main aim of this article is to reflect on the impact of biases related to artificial intelligence
(AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special …

To design and develop AI-based systems that users and the larger public can justifiably
trust, one needs to understand how machine learning technologies impact trust. To guide …

Artificial intelligence (AI) is gaining momentum, and its importance for the future of work in
many areas, such as medicine and banking, is continuously rising. However, insights on the …

The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …

As Artificial Intelligence (AI) technologies proliferate, concern has centered around the long-
term dangers of job loss or threats of machines causing harm to humans. All of this concern …

Pseudo Artificial Intelligence bias (PAIB) is broadly disseminated in the literature, which can
result in unnecessary AI fear in society, exacerbate the enduring inequities and disparities in …

The past few years have seen a remarkable amount of attention on the long-term future of
artificial intelligence (AI). Icons of science and technology such as Stephen Hawking (Cellan …

This paper aims to provide an overview of the ethical concerns in artificial intelligence (AI)
and the framework that is needed to mitigate those risks, and to suggest a practical path to …