Artificial Intelligence (AI) is undergoing a significant transformation. In recent years, the
deployment of AI models, from Analytical to Cognitive and Generative AI, has become …

Explainable artificial intelligence (AI) has drawn a lot of attention recently since AI systems
are being employed more often across a variety of industries, including education. Building …

Methods of artificial intelligence (AI) and especially machine learning (ML) have been
growing ever more complex, and at the same time have more and more impact on people's …

This study explored the potential of eXplainable Artificial Intelligence (XAI) in raising user
awareness of algorithmic bias. This study examined the popular “explanation by example” …

Machine learning (ML) has become more prevalent as a tool used for biogeochemical
analysis in agricultural management. However, a common drawback of ML models is the …

Abstract Explainable Artificial Intelligence (XAI) encompasses the strategies and
methodologies used in constructing AI systems that enable end-users to comprehend and …

Explainable Artificial Intelligence (XAI) has gained significant attention as a means to
address the transparency and interpretability challenges posed by black box AI models. In …

A brain tumour is a malignant condition that spreads extremely quickly and requires rapid
detection. In recent years, it has become apparent that deep learning is a promising …

Pursuing fast and robust interpretability in Anomaly Detection is crucial, especially due to its
significance in practical applications. Traditional Anomaly Detection methods excel in outlier …

Explainable Artificial Intelligence (XAI) is a young but very promising field of research.
Unfortunately, the progress in this field is currently slowed down by divergent and …