Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …

Robotic process automation (RPA) is a novel technology that automates tasks by interacting
with other software through their respective user interfaces. The technology has received …

While the emerging research field of explainable artificial intelligence (XAI) claims to
address the lack of explainability in high-performance machine learning models, in practice …

Der Beitrag beschäftigt sich mit den derzeitigen mathematischen Fähigkeiten des
generativen KI-Spachmodells ChatGPT in Bezug auf das Lösen mathematischer Probleme …

Contemporary decision support systems are increasingly relying on artificial intelligence
technology such as machine learning algorithms to form intelligent systems. These systems …

Explainable artificial intelligence and interpretable machine learning are research domains
growing in importance. Yet, the underlying concepts remain somewhat elusive and lack …

This study explores the application of communicative AI agents, specifically a network of
customized generative pretrained transformer agents, in designing mathematical tasks. It …

Machine learning in decision support systems already outperforms pre-existing statistical
methods. However, their predictions face challenges as calculations are often complex and …

Many applications are driven by Machine Learning (ML) today. While complex ML models
lead to an accurate prediction, their inner decision-making is obfuscated. However …

Despite significant progress, evaluation of explainable artificial intelligence remains elusive
and challenging. In this paper we propose a fine-grained validation framework that is not …