The adoption of machine learning (ML) and, more specifically, deep learning (DL)
applications into all major areas of our lives is underway. The development of trustworthy AI …

Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Large Language Models (LLMs) have shown extraordinary capabilities in understanding
and generating text that closely mirrors human communication. However, a primary …

The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …

Human-AI collaborative decision-making can achieve better outcomes than either party
individually. The success of this collaboration can depend on whether the human decision …

Business reliance on algorithms is becoming ubiquitous, and companies are increasingly
concerned about their algorithms causing major financial or reputational damage. High …

As Artificial Intelligence (AI) becomes more pervasive in our society, it is crucial to develop,
deploy, and assess Responsible and Trustworthy AI (RTAI) models, ie, those that consider …

While observing the race for Artificial Intelligence (AI) regulation and global governance,
public organizations are faced with the need to structure themselves so that their AI systems …

Abstract Although Artificial Intelligence (AI) projects are common and desired by many
institutions and research teams, there are still relatively few success stories of AI in practical …

New AI capabilities are owed in large part to massive, widely sourced, and
underdocumented training data collections. Dubious collection practices have spurred …