The application of machine learning (ML) technologies in medicine generally but also in
radiology more specifically is hoped to improve clinical processes and the provision of …

Following the success of deep learning (DL) in research, we are now witnessing the fast and
widespread adoption of artificial intelligence (AI) in daily life, influencing the way we act …

The purpose of this paper is to investigate cognitive biases among financial planners and, if
and how, digital transformation through Artificial Intelligence (AI) can help overcome biases …

Purpose The applications of Artificial Intelligence (AI) in various areas of professional and
knowledge work are growing. Emotions play an important role in how users incorporate a …

Integrating artificial intelligence (AI) has transformed living standards. However, AI's efforts
are being thwarted by concerns about the rise of biases and unfairness. The problem …

Data Bias Management Page 1 increase fairness across groups when doing data
augmentation,17 feature augmentation,5 or adjusting the metrics that measure bias.All these …

In this essay we compare human and artificial intelligence from two points of view:
computational and neuroscience. We discuss the differences and limitations of AI with …

Recommender systems are widely used in various applications, such as online shop**,
social media, and news personalization. They can help systems by delivering only the most …

The digital society has become ubiquitous, so are the concerns about trust and societal
security. However, despite their apparent link, studies on these phenomena remain …

Artificial Intelligence and Librarianship: Page 1 Martin Frické Artificial Intelligence and
Librarianship: Notes for Teaching 2nd Edition Page 2 2 Martin Frické, Professor Emeritus …