Recent advances in deep learning have improved the performance of many Natural
Language Processing (NLP) tasks such as translation, question-answering, and text …

With growing adoption of AI across fields such as healthcare, finance, and the justice
system, explaining an AI decision has become more important than ever before …

The rise of sophisticated black-box machine learning models in Artificial Intelligence
systems has prompted the need for explanation methods that reveal how these models work …

As the societal impact of Deep Neural Networks (DNNs) grows, the goals for advancing
DNNs become more complex and diverse, ranging from improving a conventional model …

Deep learning (DL) models have achieved impressive performance in various domains such
as medicine, finance, and autonomous vehicle systems with advances in computing power …

The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm
for using Artificial Intelligence (AI) technologies in almost every domain; however, the …

As a consequence of technological progress, nowadays, one is used to the availability of big
data generated in nearly all fields of science. However, the analysis of such data possesses …

The success of artificial intelligence (AI), and deep learning models in particular, has led to
their widespread adoption across various industries due to their ability to process huge …

Deep learning and other black-box models are becoming more and more popular today.
Despite their high performance, they may not be accepted ethically or legally because of …

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 …