Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread
adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the …

Many methods to explain black-box models, whether local or global, are additive. In this
paper, we study global additive explanations for non-additive models, focusing on four …

Aging is a complex stochastic process that affects healthy functioning through various
pathways. In contrast to the more commonly used cross-sectional methods, our research …

Many methods to explain black-box models, whether local or global, are additive. In this
paper, we study global additive explanations for non-additive models, focusing on four …

As AI models are becoming increasingly regulated by governments, it has become crucial to
provide explanations for their decisions. The emergence of XAI has helped us to better …

Over the past few years, AI and machine learning have evolved from research areas
secluded in laboratories far from the public, to technologies deployed on an industrial scale …

In critical domains such as healthcare, finance, and criminal justice, merely knowing what
was predicted, and not why, may be insufficient to deploy a machine learning model. This …

Artificial intelligence allows us to understand the ever-growing data that is produced
worldwide. Since AI systems can produce powerful models that can make sense of large …