Deep learning has made significant contribution to the recent progress in artificial
intelligence. In comparison to traditional machine learning methods such as decision trees …

Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …

Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …

The development of “intelligent” systems that can take decisions and perform autonomously
might lead to faster and more consistent decisions. A limiting factor for a broader adoption of …

Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of
Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (eg …

As artificial intelligence and machine learning algorithms make further inroads into society,
calls are increasing from multiple stakeholders for these algorithms to explain their outputs …

This paper provides a brief analytical review of the current state‐of‐the‐art in relation to the
explainability of artificial intelligence in the context of recent advances in machine learning …

In the last decade, with availability of large datasets and more computing power, machine
learning systems have achieved (super) human performance in a wide variety of tasks …

With massive computing power and data explosion as catalysts, Artificial Intelligence (AI)
has finally come out of research labs to become a ground-breaking technology. Businesses …