The recent surge in publications related to explainable artificial intelligence (XAI) has led to
an almost insurmountable wall if one wants to get started or stay up to date with XAI. For this …

Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

The proposed EU regulation for Artificial Intelligence (AI), the AI Act, has sparked some
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …

The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity
challenges has gained traction in industry and academia, partially as a result of widespread …

In the mass appraisal of properties, Machine Learning (ML) algorithms have produced
effective and promising results. Analysts use various algorithms to train their models with …

Artificial intelligence (AI) technologies have been widely applied in medicine and
healthcare. Explainable AI (XAI) has been proposed to make AI applications more …

Abstract As Graph Neural Networks (GNNs) are increasingly being employed in critical real-
world applications, several methods have been proposed in recent literature to explain the …

We study the faithfulness of an explanation system to the underlying prediction model. We
show that this can be captured by two properties, consistency and sufficiency, and introduce …

As machine learning models grow more complex and their applications become more high-
stakes, tools for explaining model predictions have become increasingly important. This has …

This paper investigates the deployment of Artificial Intelligence (AI) in the Swedish Public
Employment Service (PES), focusing on the concept of trustworthy AI in public decision …