Explainable AI (XAI) is widely viewed as a sine qua non for ever-expanding AI research. A
better understanding of the needs of XAI users, as well as human-centered evaluations of …

This study investigates clinicians' perceptions and attitudes toward an assistive artificial
intelligence (AI) system that employs a speech-based explainable ML algorithm for detecting …

Recent advances in technology have propelled Artificial Intelligence (AI) into a crucial role in
everyday life, enhancing human performance through sophisticated models and algorithms …

The human skeletal framework relies heavily on bones, and one such crucial component is
the “Humerus.” Positioned in the upper arm, extending from the shoulder to the elbow …

In model audits explainable AI (XAI) systems are usually presented to human auditors on a
limited number of examples due to time constraints. However, recent literature has …

Eye-tracking technology is widely used in various application areas such as psychology,
neuroscience, marketing, and human-computer interaction, as it is a valuable tool for …

The aim of the conducted research was to assess the attitude of the Polish society towards
the use of artificial intelligence in medical diagnostics. In the research process, we sought …

The Concept Bottleneck Model (CBM) is an interpretable neural network that leverages high-
level concepts to explain model decisions and conduct human-machine interaction …

In recent years, model explanation methods have been designed to interpret model
decisions faithfully and intuitively so that users can easily understand them. In this paper, we …